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  2023 (2)
RP Scripts — Release 2.0. Sampaio, M. d. S. May 2023.
RP Scripts — Release 2.0 [pdf]Paper   link   bibtex   1 download  
RP Scripts: Rhythmic Partitioning Scripts, Release 2.0. Sampaio, M. Available at ˘rlhttps://github.com/msampaio/rpScripts. Accessed on May. 13, 2023, 2023.
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  2022 (21)
Partitura: A Python Package for Symbolic Music Processing. Cancino-Chacón, C.; Peter, S. D.; Karystinaios, E.; Foscarin, F.; Grachten, M.; and Widmer, G. June 2022. arXiv:2206.01071 [cs, eess]
Partitura: A Python Package for Symbolic Music Processing [link]Paper   link   bibtex   abstract   1 download  
Melodic Contour and Rhythm as Organizing Principles in Schoenberg's Wind Quintet, Op. 26. Carmona, T. Ph.D. Thesis, Texas Tech University, 2022.
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Annotating symbolic texture in Piano Music: a formal syntax. Couturier, L.; Bigo, L.; and Leve, F. In pages 8, Saint-Etienne, France, 2022.
Annotating symbolic texture in Piano Music: a formal syntax [link]Paper   link   bibtex   abstract  
A Dataset of Symbolic Texture Annotations in Mozart Piano Sonatas. Couturier, L.; Bigo, L.; and Leve, F. . December 2022. Publisher: Zenodo
A Dataset of Symbolic Texture Annotations in Mozart Piano Sonatas [link]Paper   doi   link   bibtex   abstract  
Computational Similarity Models of Portuguese Folk Melodies Using Hierarchical Reduction. Diogo, D. F. Master's thesis, Universidade do Porto, 2022.
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Smart-Median: A New Real-Time Algorithm for Smoothing Singing Pitch Contours. Faghih, B.; and Timoney, J. Applied Sciences, 12(14): 7026. July 2022.
Smart-Median: A New Real-Time Algorithm for Smoothing Singing Pitch Contours [link]Paper   doi   link   bibtex   abstract   2 downloads  
PARSEMAT: Parseme Toolbox Software Package v. 0.9 Beta. Gentil-Nunes, P. Available at ˘rlhttps://pauxy.net/parsemat-3/. Accessed on Dec. 16, 2022, 2022.
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Rhetorical Pattern Finding. Gómez, F.; Tizón, M.; Arronte, A.; and Padilla, V. International Journal of Interactive Multimedia and Artificial Intelligence,8. 2022.
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Cadential Melodies: Form-Functional Taxonomy and the Role of the Upper Voice. Hutchinson, K.; and Poon, M. Music Theory Online, 28(2). May 2022.
Cadential Melodies: Form-Functional Taxonomy and the Role of the Upper Voice [link]Paper   doi   link   bibtex   abstract  
Computational Analysis of Musical Structures based on Morphological Filters. Lascabettes, P.; Agon, C.; Andreatta, M.; and Bloch, I. In MCM 2022 - 8th International Conference Mathematics and Computation in Music, Atlanta, USA, 2022.
Computational Analysis of Musical Structures based on Morphological Filters [link]Paper   link   bibtex   abstract  
A Corpus Describing Orchestral Texture in First Movements of Classical and Early-Romantic Symphonies. Le, D.; Giraud, M.; Levé, F.; and Maccarini, F. In 9th International Conference on Digital Libraries for Musicology, pages 27–35, Prague Czech Republic, July 2022. ACM
A Corpus Describing Orchestral Texture in First Movements of Classical and Early-Romantic Symphonies [link]Paper   doi   link   bibtex   abstract   1 download  
An adaptive meta-heuristic for music plagiarism detection based on text similarity and clustering. Malandrino, D.; De Prisco, R.; Ianulardo, M.; and Zaccagnino, R. Data Mining and Knowledge Discovery. may 2022.
An adaptive meta-heuristic for music plagiarism detection based on text similarity and clustering [link]Paper   doi   link   bibtex   abstract  
A Taxonomy of Orchestral Grouping Effects Derived from Principles of Auditory Perception. McAdams, S.; Goodchild, M.; and Soden, K. Music Theory Online, 28(3): 55. 2022.
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Statistical Methods in Music Corpus Studies: Application, UseCases, and Best Practice Examples. Müllensiefen, D.; and Frieler, K. In Shanahan, D.; Burgoyne, J. A.; and Quinn, I., editor(s), The Oxford Handbook of Music and Corpus Studies. Oxford University Press, 1 edition, February 2022.
Statistical Methods in Music Corpus Studies: Application, UseCases, and Best Practice Examples [link]Paper   doi   link   bibtex   abstract  
The Role of Orchestration in Shaping Musical Form: Theory and Practice of a Methodological Proposal and Its Computational Implementation. Paiva Santana, C. d.; and Guigue, D. Musicological Annual, 58(2): 121–153. December 2022.
The Role of Orchestration in Shaping Musical Form: Theory and Practice of a Methodological Proposal and Its Computational Implementation [link]Paper   doi   link   bibtex   abstract  
Music and Mathematics in Latin America: Major Developments in the Last 25 Years. Pareyon, G.; Almada, C.; Mathias, C.; Saraiva, C.; Moreira, D.; Carvalho, H.; Pitombeira, L.; Gentil-Nunes, P.; Mesz, B.; Amster, P.; and Riera, P. MusMat: Brazilian Journal of Music and Mathematics, 6(1): 12–47. June 2022.
Music and Mathematics in Latin America: Major Developments in the Last 25 Years [pdf]Paper   doi   link   bibtex   abstract   2 downloads  
New Visual Tools for Rhythmic Partitioning Analysis of Musical Texture. Sampaio, M.; Gentil-Nunes, P.; Oliveira, V. S. d.; Oliveira, S. M. d.; and Oliveira, J. C. Revista Musica Theorica, 7(2): 215–246. 2022.
New Visual Tools for Rhythmic Partitioning Analysis of Musical Texture [link]Paper   doi   link   bibtex   abstract  
Python Scripts for Rhythmic Partitioning Analysis. Sampaio, M.; and Gentil-Nunes, P. MusMat - Brazilian Journal of Music and Mathematics, 6(2): 17–55. 12 2022.
Python Scripts for Rhythmic Partitioning Analysis [pdf]Paper   link   bibtex   abstract  
RP Scripts: Rhythmic Partitioning Scripts, Release 1.0. Sampaio, M.; and Gentil-Nunes, P. Available at ˘rlhttps://github.com/msampaio/rpScripts. Accessed on Dec. 16, 2022, 2022.
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Music Tools. Sampaio, M. 2022.
Music Tools [link]Paper   link   bibtex  
Fuzzy Family Ties: New Methods for Measuring Familial Similarity between Contours of Variable Cardinality. Wallentinsen, K. Journal of Music Theory, 66(1): 93–128. April 2022.
Fuzzy Family Ties: New Methods for Measuring Familial Similarity between Contours of Variable Cardinality [link]Paper   doi   link   bibtex   abstract  
  2021 (15)
Studying Structural Regularities through Abstraction Trees. Carnovalini, F.; Harley, N.; Homer, S.; and Rod, A. In Proceedings of the 15th International Symposium on CMMR, Online, Nov. 15-19, pages 165–174, 2021.
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Mining contour sequences for significant closed patterns. Conklin, D. Journal of Mathematics and Music, 0(0): 1–13. 2021.
Mining contour sequences for significant closed patterns [link]Paper   doi   link   bibtex   abstract  
Cosine contours: a multipurpose representation for melodies. Cornelissen, B.; Zuidema, W.; and Burgoyne, J. A. In Proceedings of 22nd International Society for Music Information Retrieval Conference, 2021.
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Statistical analysis of songs by composers of the Romantic era : A comparison of F . Schubert and his contemporaries. Gao, L.; Shen, H.; and Liu, C. Musica Hodie, 1. 2021.
doi   link   bibtex  
Exploring the foundations of tonality: statistical cognitive modeling of modes in the history of Western classical music. Harasim, D.; Moss, F. C.; Ramirez, M.; and Rohrmeier, M. Humanities and Social Sciences Communications, 8(1). 2021.
Exploring the foundations of tonality: statistical cognitive modeling of modes in the history of Western classical music [link]Paper   doi   link   bibtex   abstract  
The Annotated Mozart Sonatas: Score, Harmony, and Cadence. Hentschel, J.; Neuwirth, M.; and Rohrmeier, M. Transactions of the International Society for Music Information Retrieval, 4(1): 67–80. may 2021.
The Annotated Mozart Sonatas: Score, Harmony, and Cadence [link]Paper   doi   link   bibtex   abstract   1 download  
A Statistical Model for Melody Reduction. Hu, T.; and Arthur, C. In Proceedings of the Future Directions of Music Cognition International Conference, pages 1–5, 2021.
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Discovering Tonal Profiles with Latent Dirichlet Allocation. Moss, F. C.; and Rohrmeier, M. Music & Science, 4. jan 2021.
Discovering Tonal Profiles with Latent Dirichlet Allocation [link]Paper   doi   link   bibtex   abstract  
End-Accented Sentences: Towards a Theory of Phrase-Rhythmic Progression. Ng, S. Music Theory Spectrum. jan 2021.
End-Accented Sentences: Towards a Theory of Phrase-Rhythmic Progression [link]Paper   doi   link   bibtex   abstract  
Automatic recognition of texture in Renaissance Music. Parada-cabaleiro, E.; Schmitt, M.; Batliner, A.; Schuller, B.; and Schedl, M. In Proceedings of 22nd International Society for Music Information Retrieval Conference, pages 509–516, 2021.
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The Mozart Expositional Punctuation Corpus: A Dataset of Interthematic Cadences in Mozart's Sonata-Allegro Exposition. Raz, O.; Chawin, D.; and Rom, U. B. Empirical Musicology Review, 16(1): 134–144. dec 2021.
The Mozart Expositional Punctuation Corpus: A Dataset of Interthematic Cadences in Mozart's Sonata-Allegro Exposition [link]Paper   doi   link   bibtex   abstract  
Rhythm contour drives musical memory. Schmuckler, M. A.; and Moranis, R. In Future Directions of Music Cognition, December 2021. The Ohio State University Libraries
Rhythm contour drives musical memory [link]Paper   doi   link   bibtex   abstract  
Symbolic Textural Features and Melody / Accompaniment Detection in String Quartets. Soum-fontez, L.; and Giraud, M. In Proceedings of the 15th International Symposium on CMMR, Online, Nov. 15-19, 2021.
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Measuring the Amount of Freedom for Compositional Choices in a Textural Perspective Daniel Moreira de Sousa. de Sousa, D. M. MusMat: Brazilian Journal of Music and Mathematics, V(1): 126–156. 2021.
doi   link   bibtex   abstract  
An evaluation of musical pattern discovery algorithms using a visualisation application. Wargelin, M. Ph.D. Thesis, University of Helsinki, 2021.
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  2020 (28)
Implementação de um sistema composicional semiaberto a partir da similaridade entre conjuntos de classes de notas. Braga, V.; Penchel, J.; Chagas, I.; Furman, R.; Proença, P.; and Pitombeira, L. OPUS, 26(2): 1. oct 2020.
Implementação de um sistema composicional semiaberto a partir da similaridade entre conjuntos de classes de notas [link]Paper   doi   link   bibtex   abstract   3 downloads  
Digital Approaches to Troubadour Song. Chapman, K. E. Ph.D. Thesis, Indiana University, 2020.
Digital Approaches to Troubadour Song [link]Paper   link   bibtex   abstract   1 download  
Mode classification and natural units in plainchant. Cornelissen, B.; Zuidema, W.; and Burgoyne, J. A. In Proceedings of 21th International Society for Music Information Retrieval Conference, Montréal, Canada, 2020.
Mode classification and natural units in plainchant [link]Paper   link   bibtex  
Studying Large Plainchant Corpora Using chant21. Cornelissen, B.; Zuidema, W.; and Burgoyne, J. A. In Proceedings of 7th International Conference on Digital Libraries for Musicology, Montréal, Canada, 2020.
Studying Large Plainchant Corpora Using chant21 [link]Paper   link   bibtex  
Quelques propos sur les outils et les méthodes audionumériques en musicologie. L'interdisciplinarité comme rupture épistémologique. Couprie, P. Revue musicale OICRM, 6(2): 25–44. March 2020.
Quelques propos sur les outils et les méthodes audionumériques en musicologie. L'interdisciplinarité comme rupture épistémologique [link]Paper   doi   link   bibtex   abstract  
Using Note-Level Music Encodings to Facilitate Interdisciplinary Research on Human Engagement with Music. Devaney, J. Transactions of the International Society for Music Information Retrieval, 3(1): 205–217. oct 2020.
Using Note-Level Music Encodings to Facilitate Interdisciplinary Research on Human Engagement with Music [link]Paper   doi   link   bibtex   abstract  
Voice-Leading Schema Recognition Using Rhythm and Pitch Features. Finkensiep, C.; Déguernel, K.; Neuwirth, M.; and Rohrmeier, M. In Proceedings of 21st International Conference on Music Information Retrieval, pages 520–526, Montréal, Canada, 2020.
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Miles Vs. Trane: Computational and Statistical Comparison of the Improvisatory Styles of Miles Davis and John Coltrane. Frieler, K. Jazz Perspectives, 12(1): 123–145. jan 2020.
Miles Vs. Trane: Computational and Statistical Comparison of the Improvisatory Styles of Miles Davis and John Coltrane [link]Paper   doi   link   bibtex   abstract   2 downloads  
Glossário de termos schenkerianos. Gerling, C. C.; and de Barros, G. S. TeMA, Salvador, BA, 2020.
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Reprise Structures in Haydn's Op. 50 Minuets. Inman, S. M. Indiana Theory Review, 36(1-2): 23–55. 2020.
Reprise Structures in Haydn's Op. 50 Minuets [link]Paper   link   bibtex   3 downloads  
Music genre descriptor for classification based on tonnetz trajectories. Karystinaios, E.; Guichaoua, C.; Andreatta, M.; Bigo, L.; and Bloch, I. Journées d'Informatique Musicale. 2020.
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A Survey on Visualizations for Musical Data. Khulusi, R.; Kusnick, J.; Meinecke, C.; Gillmann, C.; Focht, J.; and Jänicke, S. Computer Graphics Forum, 00(00): 1–28. 2020.
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A corpus-based analysis of syncopated patterns in Ragtime. Kirlin, P. B In Proceedings of 21th International Society for Music Information Retrieval Conference, Montréal, Canada, 2020.
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Rule mining for local boundary detection in melodies. van Kranenburg, P. In Proceedings of 21st International Conference on Music Information Retrieval, pages 271–278, Montréal, Canada, 2020.
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Historiography of the form of symbolic music through a computer-assisted analysis. Kutschke, B. R.; and Bachmann, T. In Proceedings of the 17th Sound and Music Computing Conference, pages 386–393, Torino, 2020.
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Grouping compositions based on similarity of music themes. Laskowska, B.; and Kamola, M. PLoS ONE, 15(10). oct 2020.
Grouping compositions based on similarity of music themes [link]Paper   doi   link   bibtex  
The Tonal Diffusion Model. Lieck, R.; Moss, F. C.; and Rohrmeier, M. , 3: 153–164. 2020.
The Tonal Diffusion Model [link]Paper   link   bibtex  
Joseph Haydn and the New Formenlehre: Teaching Sonata Form with His Solo Keyboard Works. MacKay, J. S. HAYDN: Online Journal of the Haydn Society of North America, 10(2). 2020.
Joseph Haydn and the New Formenlehre: Teaching Sonata Form with His Solo Keyboard Works [link]Paper   link   bibtex  
Not All Roads Lead to Rome: Pitch Representation and Model Architecture for Automatic Harmonic Analysis. Micchi, G.; Gotham, M.; and Giraud, M. Transactions of the International Society for Music Information Retrieval, 3(1): 42–54. 2020.
doi   link   bibtex   abstract  
A Systematic Literature Review on Computational Musicology. Mor, B.; Garhwal, S.; and Kumar, A. Archives of Computational Methods in Engineering, 27(3): 923–937. 2020.
A Systematic Literature Review on Computational Musicology [link]Paper   doi   link   bibtex   abstract  
Harmony and Form in Brazilian Choro: A Corpus-Driven Approach to Musical Style Analysis. Moss, F. C.; de Souza, W. F.; and Rohrmeier, M. Journal of New Music Research, 0(0): 1–22. 2020.
Harmony and Form in Brazilian Choro: A Corpus-Driven Approach to Musical Style Analysis [link]Paper   doi   link   bibtex   1 download  
SymPlot : A Web-Tool to Visualise Symbolic Musical Data. Muñoz-Lago, P.; Llorens, A.; Parada-Cabaleiro, E.; and Torrente, Á. In Proc. 24th International Converence Information Visualisation (IV), pages 515–521, Melbourne, Australia, 2020.
SymPlot : A Web-Tool to Visualise Symbolic Musical Data [pdf]Paper   doi   link   bibtex   2 downloads  
Mining Characteristic Patterns for Comparative Music Corpus Analysis. Neubarth, K.; and Conklin, D. Applied Sciences, 10(6). 2020.
doi   link   bibtex   1 download  
Compositional Systems: Overview and Applications. Pitombeira, L. MusMat - Brazilian Journal of Music and Mathematics, IV(1): 39–62. 2020.
Compositional Systems: Overview and Applications [pdf]Paper   link   bibtex   abstract   1 download  
From Music Ontology towards Ethno-Music-Ontology. Proutskova, P.; Volk, A.; Fazekas, G.; and Heidarian, P. In Proceedings of 21st International Conference on Music Information Retrieval, pages 923–931, Montréal, Canada, 2020.
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A quantitative study of pitch registers in string quartets opus 17, by Joseph Haydn. Sampaio, M.; de Oliveira, V. S.; Travassos, M.; and Castro, C. Musica Theorica, 5(1): 119–177. 2020.
A quantitative study of pitch registers in string quartets opus 17, by Joseph Haydn [link]Paper   link   bibtex   abstract   1 download  
A cluster analysis of harmony in the McGill Billboard dataset. Shaffer, K.; Vasiete, E.; Jacquez, B.; Davis, A.; Escalante, D.; Hicks, C.; McCann, J.; Noufi, C.; and Salminen, P. Empirical Musicology Review, 14(3-4): 146. jul 2020.
A cluster analysis of harmony in the McGill Billboard dataset [link]Paper   doi   link   bibtex   abstract  
SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Virtanen, P.; Gommers, R.; Oliphant, T. E.; Haberland, M.; Reddy, T.; Cournapeau, D.; Burovski, E.; Peterson, P.; Weckesser, W.; Bright, J.; van der Walt , S. J.; Brett, M.; Wilson, J.; Millman, K. J.; Mayorov, N.; Nelson, A. R. J.; Jones, E.; Kern, R.; Larson, E.; Carey, C J; Polat, İ.; Feng, Y.; Moore, E. W.; VanderPlas, J.; Laxalde, D.; Perktold, J.; Cimrman, R.; Henriksen, I.; Quintero, E. A.; Harris, C. R.; Archibald, A. M.; Ribeiro, A. H.; Pedregosa, F.; van Mulbregt , P.; and SciPy 1.0 Contributors Nature Methods, 17: 261–272. 2020.
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  2019 (31)
Learning Sonata Form Structure on Mozart's String Quartets. Allegraud, P.; Bigo, L.; Feisthauer, L.; Giraud, M.; Groult, R.; Leguy, E.; and Levé, F. Transactions of the International Society for Music Information Retrieval, 2(1): 82–96. 2019.
Learning Sonata Form Structure on Mozart's String Quartets [link]Paper   doi   link   bibtex  
Glossário de Estatística. Assis, J. P. d.; Sousa, R. P. d.; and Dias, C. T. d. S. EDUFERSA, Mossoró, RN, 2019.
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A Computational Model of Immanent Accent Salience in Tonal Music. Bisesi, E.; Friberg, A.; and Parncutt, R. Frontiers in Psychology, 10: 1–19. mar 2019.
A Computational Model of Immanent Accent Salience in Tonal Music [link]Paper   doi   link   bibtex   abstract  
Estatística Prática para Cientista de Dados. Bruce, P. Alta Books, Rio de Janeiro, 2019.
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Alternative measures: A musicologist workbench for popular music. Clark, B.; and Arthur, C. In Proceedings of the Sound and Music Computing Conferences, pages 407–414, 2019.
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HUMDRUMR : a new take on an old approach to Computational Musicology. Condit-Schultz, N.; and Arthur, C. In Proceedings of the 20th International Society for Music Information Retrieval Conference, pages 715–722, Delft, Netherlands, 2019.
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Learning, Probability and Logic: Toward a Unified Approach for Content-Based Music Information Retrieval. Crayencour, H.; and Cella, C. Frontiers in Digital Humanities, 6(April): 1–25. 2019.
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Modeling and learning structural breaks in sonata forms. Feisthauer, L.; Bigo, L.; and Giraud, M. In Proc. International Society for Music Information Retrieval Conference 2019, Utrecht, Netherlands, 2019.
Modeling and learning structural breaks in sonata forms [link]Paper   link   bibtex   abstract  
Visualizing music similarity: clustering and mapping 500 classical music composers. Georges, P.; and Nguyen, N. Scientometrics, (0123456789). 2019.
Visualizing music similarity: clustering and mapping 500 classical music composers [link]Paper   doi   link   bibtex  
Mãos à Obra Aprendizado de Máquina com Scikit-Learn & TensorFlow: Conceitos, Ferramentas e Técnicas para a Construção de Sistemas Inteligentes. Géron, A. Alta Books, Rio de Janeiro, 2019.
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Taking Form: a representation standard, conversion code, and example corpus for recording, visualizing, and studying analysis of musical form. Gotham, M.; and Ireland, M. T In Proceedings of the 20th International Society for Music Information Retrieval Conference, Delft, Netherlands, 2019.
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Minor-Mode Sonata-Form Dynamics in Haydn's String Quartets. Hall, M. J. Haydn: Online Journal of the Haydn Society of North America, 9(1). 2019.
Minor-Mode Sonata-Form Dynamics in Haydn's String Quartets [pdf]Paper   link   bibtex   abstract  
Algorithmic Ability to Predict the Musical Future: Datasets and Evaluation. Janssen, B.; Collins, T.; and Ren, I. Y. In Proceedings of the 20th International Society for Music Information Retrieval Conference, pages 208–215, Delft, Netherlands, 2019.
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The Structure of Morphological Space. Kant, D.; and Polansky, L. Perspectives of New Music, 57(1): 441–498. 2019.
The Structure of Morphological Space [link]Paper   doi   link   bibtex  
Annotator subjectivity in harmony annotations of popular music. Koops, H. V.; de Haas, W. B.; Burgoyne, J. A.; Bransen, J.; Kent-Muller, A.; and Volk, A. Journal of New Music Research, 0(0): 1–21. 2019.
Annotator subjectivity in harmony annotations of popular music [link]Paper   doi   link   bibtex  
A Deep Learning Approach to generate Beethoven's 10th Symphony. Lago, P. M. Ph.D. Thesis, Universidad Complutense de Madrid, 2019.
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What Constitutes a Musical Pattern ?. Melkonian, O.; Ren, I. Y.; Swierstra, W.; and Volk, A. In Proceedings of the 7th ACM SIGPLAN International Workshop on Functional Art, Music, Modeling, and Design (FARM '19), Berlin, 2019.
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Applied Time Series Analysis: A Practical Guide to Modeling and Forecasting Terence. Mills, T. C. Academic Press, London, UK, 2019.
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Statistical characteristics of tonal harmony: a corpus study of Beethoven's string quartets. Moss, F. C.; Neuwirth, M.; Harasim, D.; and Rohrmeier, M. PLoS ONE,1–16. 2019.
Statistical characteristics of tonal harmony: a corpus study of Beethoven's string quartets [link]Paper   doi   link   bibtex  
Transitions of Tonality: A Model-Based Corpus Study. Moss, F. C. Ph.D. Thesis, École Polytehcnique Fédérale de Lausanne, 2019.
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Contributing to New Musicological Theories with Computational Methods: The Case of Centonization in Arab-Andalusian Music. Nuttall, T.; García-Casado, M.; Núñez-Tarifa, V.; Repetto, R. C.; and Serra, X. In Proceedings of the 20th International Society for Music Information Retrieval Conference, pages 223–228, Delft, Netherlands, 2019.
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Towards a Graphical User Interface for Quantitative Analysis in Digital Musicology. Ortloff, A.; Güntner, L.; and Schmidt, T. In Proc. Mensch und Computer 2019 - Workshopband, pages 535–538, Hamburg, Germany, 2019. Gesellschaft für Informatik e.V.
Towards a Graphical User Interface for Quantitative Analysis in Digital Musicology [link]Paper   doi   link   bibtex   abstract  
Evolution of the Informational Complexity of Contemporary Western Music. Parmer, T.; and Ahn, Y. In Proceedings of the 20th International Society for Music Information Retrieval Conference, pages 175–182, Delft, The Netherlands, 2019.
Evolution of the Informational Complexity of Contemporary Western Music [link]Paper   doi   link   bibtex   abstract  
A convolutional approach to melody line identification in symbolic scores. Simonetta, F.; Cancino-chacón, C.; Widmer, G.; and Ntalampiras, S. Computing Research Repository, abs/1906.1. 2019.
A convolutional approach to melody line identification in symbolic scores [pdf]Paper   link   bibtex  
Composing with Textures : A Proposal for Formalization of Textural Spaces. de Sousa, D. M. MusMat - Brazilian Journal of Music and Mathematics, 3(1): 19–48. 2019.
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Textural design: A Compositional Theory for the Organization of Musical Texture. de Sousa, D. M. Ph.D. Thesis, Universidade Federal do Rio de Janeiro, 2019.
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Machine learning research that matters for music creation: A case study. Sturm, B. L.; Ben-Tal, O.; Monaghan, Ú.; Collins, N.; Herremans, D.; Chew, E.; Hadjeres, G.; Deruty, E.; and Pachet, F. Journal of New Music Research, 48(1): 36–55. jan 2019.
Machine learning research that matters for music creation: A case study [link]Paper   doi   link   bibtex   abstract  
Second-Position Syncopation in European and American Vocal Music. Temperley, D. Empirical Musicology Review, 14(1-2): 66. nov 2019.
Second-Position Syncopation in European and American Vocal Music [link]Paper   doi   link   bibtex   abstract  
The RomanText Format: A Flexible and Standard Method for Representing Roman Numerial Analyses. Tymoczko, D.; Gotham, M.; Cuthbert, M.; and Ariza, C. In Proceedings of the 20th International Society for Music Information Retrieval Conference, pages 123–129, Delft, The Netherlands, 2019.
The RomanText Format: A Flexible and Standard Method for Representing Roman Numerial Analyses [link]Paper   doi   link   bibtex  
Tests of contrasting expressive content between first and second musical themes. Warrenburg, L. A; and Huron, D. Journal of New Music Research, 48(1): 21–35. 2019.
Tests of contrasting expressive content between first and second musical themes [link]Paper   doi   link   bibtex   abstract  
Distinguishing Chinese Guqin and Western Baroque pieces based on statistical model. Wu, Y.; and Li, S. In Proceedings of Computer Music Multidisciplinary Research 2019, pages 1–12, 2019.
Distinguishing Chinese Guqin and Western Baroque pieces based on statistical model [link]Paper   link   bibtex  
  2018 (15)
Relevance of musical features for cadence detection. Bigo, L.; Feisthauer, L.; Giraud, M.; and Levé, F. In Proceedings of 19th International Conference on Music Information Retrieval, Paris, 2018.
Relevance of musical features for cadence detection [link]Paper   link   bibtex   abstract  
An Exploratory Study of Western Orchestration: Patterns through History. Chon, S. H.; Huron, D.; and DeVlieger, D. Empirical Musicology Review, 12(3-4): 116. jun 2018.
An Exploratory Study of Western Orchestration: Patterns through History [link]Paper   doi   link   bibtex   abstract  
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects. García-Vico, A. M.; Carmona, C. J.; Martín, D.; García-Borroto, M.; and del Jesus, M. J. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(1): 1–22. 2018.
doi   link   bibtex   abstract  
Where Does Haydn End and Mozart Begin? Composer Classification of String Quartets. Kempfert, K. C.; and Wong, S. W. K. sep 2018.
Where Does Haydn End and Mozart Begin? Composer Classification of String Quartets [link]Paper   link   bibtex   abstract  
X Section and Ethos in Sonata Forms by Haydn, Mozart, and early Beethoven. Libin, D. M Ph.D. Thesis, The State University of New Jersey, 2018.
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Another Look at Chromatic Third-Related Key Relationships in Late Haydn: Parallel Keys and Remote Modulation in Selected String Quartet Minuets. MacKay, J. S. Haydn: Online Journal of the Haydn Society of North America, 2(3): 1–27. 2018.
Another Look at Chromatic Third-Related Key Relationships in Late Haydn: Parallel Keys and Remote Modulation in Selected String Quartet Minuets [link]Paper   link   bibtex   abstract   4 downloads  
Interesting Haydn: On Attention's Materials. Mathew, N. Journal of the American Musicological Society, 71(3): 655–701. 2018.
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The Annotated Beethoven Corpus (ABC): A Dataset of Harmonic Analyses of All Beethoven String Quartets. Neuwirth, M.; Harasim, D.; Moss, F. C.; and Rohrmeier, M. Frontiers in Digital Humanities, 5(July): 1–5. 2018.
The Annotated Beethoven Corpus (ABC): A Dataset of Harmonic Analyses of All Beethoven String Quartets [link]Paper   doi   link   bibtex  
Contour Similarity Algorithms. Sampaio, M. MusMat - Brazilian Journal of Music and Mathematics, 2(2): 58–78. 2018.
Contour Similarity Algorithms [pdf]Paper   link   bibtex   abstract  
Simulating melodic and harmonic expectations for tonal cadences using probabilistic models. Sears, D. R.; Pearce, M. T.; Caplin, W. E.; and McAdams, S. Journal of New Music Research, 47(1): 29–52. 2018.
Simulating melodic and harmonic expectations for tonal cadences using probabilistic models [link]Paper   doi   link   bibtex   abstract  
Substantial musical similarity in sound and notation: Perspectives from digital musicology. Selfridge-Field, E. Colorado Technology Law Journal, 16(2): 249–284. 2018.
Substantial musical similarity in sound and notation: Perspectives from digital musicology [link]Paper   link   bibtex  
Differentiae in the cantus manuscript database. Shaw, R. In Proceedings of the 5th International Conference on Digital Libraries for Musicology - DLfM '18, pages 38–46, New York, New York, USA, 2018. ACM Press
Differentiae in the cantus manuscript database [link]Paper   doi   link   bibtex   abstract  
Haydn's impropriety. Waltham-Smith, N. Journal of Music Theory, 62(1): 119–144. 2018.
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Computational Corpus Analysis: a Case Study on Jazz Solos. Weiß, C.; Balke, S.; Abeßer, J.; and Müller, M. In Proceedings of the 19th International Society for Music Information Retrieval, Paris, 2018.
Computational Corpus Analysis: a Case Study on Jazz Solos [pdf]Paper   link   bibtex   abstract  
Investigating style evolution of Western classical music: A computational approach. Weiß, C.; Mauch, M.; Dixon, S.; and Müller, M. Musicae Scientiae, (March). 2018.
Investigating style evolution of Western classical music: A computational approach [link]Paper   doi   link   bibtex   abstract  
  2017 (18)
The digital music lab: A big data infrastructure for digital musicology. Abdallah, S.; Benetos, E.; Gold, N.; Hargreaves, S.; Weyde, T.; and Wolff, D. Journal on Computing and Cultural Heritage, 10(1): 1–21. 2017.
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Sketching Sonata Form Structure in Selected Classical String Quartets. Bigo, L.; Giraud, M.; Groult, R.; Guiomard-Kagan, N.; and Levé, F. In Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR), pages 752–759, Suzhou, China, 2017.
Sketching Sonata Form Structure in Selected Classical String Quartets [pdf]Paper   link   bibtex   abstract  
Practical Statistics for Data Scientists. Bruce, P.; and Bruce, A. O'Reilly Media, Sebastopol, CA, 2017.
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PatternFinder: Content-Based Music Retrieval with music21. Garfinkle, D.; Arthur, C.; Schubert, P.; Cumming, J.; and Fujinaga, I. ACM International Conference Proceeding Series, (October): 5–8. 2017.
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Nestings and Intersections between Partitional Complexes. Gentil-Nunes, P. MusMat - Brazilian Journal of Music and Mathematics, I(2): 93–108. 2017.
Nestings and Intersections between Partitional Complexes [pdf]Paper   link   bibtex   abstract  
12. Gentil-Nunes, P. Partitiogram, Mnet, Vnet and Tnet: Embedded Abstractions Inside Compositional Games, pages 111–118. Springer, Berlin, 2017.
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Teorias analíticas sobre a textura musical no Brasil. Gentil-Nunes, P. In Nogueira, I., editor(s), Teoria e Análise Musical em Perspectiva Didática, 9, pages 139–151. TeMA, Salvador, 2017.
Teorias analíticas sobre a textura musical no Brasil [link]Paper   link   bibtex  
Western classical music development: a statistical analysis of composers similarity, differentiation and evolution. Georges, P. Scientometrics, 112(1): 21–53. jul 2017.
Western classical music development: a statistical analysis of composers similarity, differentiation and evolution [link]Paper   doi   link   bibtex   abstract  
Of beginnings and ends a corpus-based inquiry into the rise of the recapitulation. Greenberg, Y. Journal of Music Theory, 61(2): 171–200. 2017.
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Trimodular Block Strategies in Haydn's Sonata Movements by Samantha M. Inman. Inman, S. M. Haydn: Online Journal of the Haydn Society of North America, 7(Spring): 1–27. 2017.
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Finding Occurrences of Melodic Segments in Folk Songs Employing Symbolic Similarity Measures. Janssen, B.; van Kranenburg, P.; and Volk, A. Journal of New Music Research, 46(2): 118–134. apr 2017.
Finding Occurrences of Melodic Segments in Folk Songs Employing Symbolic Similarity Measures [link]Paper   doi   link   bibtex   abstract  
Tonal Harmony: with an Introduction to Post-Tonal Music. Kostka, S. M.; Payne, D.; and Almén, B. McGraw-Hill Education, New York, 8 edition, 2017.
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Documenting a song culture: the Dutch Song Database as a resource for musicological research. van Kranenburg, P.; de Bruin, M.; and Volk, A. International Journal on Digital Libraries, 20(1): 13–23. 2017.
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A Case for Declassifying the IAC as a Cadence Type: Cadence and Thematic Design in Selected Early- to Middle-Period Haydn Sonatas. MacKay, J. S. Ad Parnassum, 15(30): 1–27. 2017.
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Practical Time Series Analysis: Master Time Series Data Processing, Visualization, and Modeling using Python. Pal, A.; and Prakash, P. Packt Publishing, Birmingham; Mumbai, 2017.
Practical Time Series Analysis: Master Time Series Data Processing, Visualization, and Modeling using Python [link]Paper   link   bibtex  
A computational study on outliers in world music. Panteli, M.; Benetos, E.; and Dixon, S. PLoS ONE, 12(12): 1–29. 2017.
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A Teoria de Relações de Contornos no Brasil. Sampaio, M. In Nogueira, I., editor(s), Teoria e Análise Musical em perspectiva didática, 8, pages 123–138. EDUFBA, Salvador, BA, 2017.
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Pasts and futures of digital humanities in musicology: Moving towards a “Bigger Tent”. Urberg, M. Music Reference Services Quarterly, 20(3-4): 134–150. 2017.
Pasts and futures of digital humanities in musicology: Moving towards a “Bigger Tent” [link]Paper   doi   link   bibtex   abstract  
  2016 (27)
Analysing Symbolic Music with Probabilistic Grammars. Abdallah, S.; Gold, N.; and Marsden, A. In Meredith, D., editor(s), Computational Music Analysis, 7, pages 157–189. Springer International Publishing, Cham, 2016.
Analysing Symbolic Music with Probabilistic Grammars [link]Paper   doi   link   bibtex   abstract  
Music Outlier Detection Using Multiple Sequence Alignment and Independent Ensembles. Bountouridis, D.; Koops, H. V.; Wiering, F.; and Veltkamp, R. C. In Amsaleg, L.; Houle, M. E.; and Schubert, E., editor(s), Proc. of 9th International Conference, SISAP 2016, pages 286–300, Tokyo, 2016. Springer Berlin Heidelberg
Music Outlier Detection Using Multiple Sequence Alignment and Independent Ensembles [link]Paper   doi   link   bibtex   abstract  
Perceiving Irony in Music: The Problem in Beethoven's String Quartets. Bourne, J. Music Theory Online, 22(3). 2016.
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Musical Stylometry, Machine Learning, and Attribution Studies: A Semi-Supervised Approach to the Works of Josquin. Brinkman, A.; Shanahan, D.; and Sapp, C. S. In Proceedings of the International Conference on Music Perception and Cognition, pages 91–97, San Francisco, 2016.
Musical Stylometry, Machine Learning, and Attribution Studies: A Semi-Supervised Approach to the Works of Josquin [pdf]Paper   link   bibtex   abstract  
Music Information Retrieval. Burgoyne, J. A.; Fujinaga, I.; and Downie, J S. In A New Companion to Digital Humanities, pages 213–228. John Wiley & Sons, Ltd, 2016.
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The Continuous Exposition and the Concept of Subordinate Theme. Caplin, W. E.; and Martin, N. J. Music Analysis, 35(1): 4–43. 2016.
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Using Geometric Symbolic Fingerprinting to Discover Distinctive Patterns in Polyphonic Music Corpora. Collins, T.; Arzt, A.; Frostel, H.; and Widmer, G. In Meredith, D., editor(s), Computational Music Analysis, 17, pages 445–474. Springer International Publishing, Cham, 2016.
Using Geometric Symbolic Fingerprinting to Discover Distinctive Patterns in Polyphonic Music Corpora [link]Paper   doi   link   bibtex   abstract  
Algorithmique et technologies numériques dans la notation musicale. Couprie, P. In Musiques Orales, leur notation et encodage numérique, pages 99–115. Les éditions de l'immatériel, 2016.
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Modelagem e particionamento de Unidades Musicais Sistêmicas. Fortes, R. Ph.D. Thesis, Universidade Federal do Rio de Janeiro, 2016.
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Implementing Methods for Analysing Music Based on Lerdahl and Jackendoff's Generative Theory of Tonal Music. Hamanaka, M.; Hirata, K.; and Tojo, S. In Meredith, D., editor(s), Computational Music Analysis, 9, pages 221–249. Springer International Publishing, Cham, 2016.
Implementing Methods for Analysing Music Based on Lerdahl and Jackendoff's Generative Theory of Tonal Music [link]Paper   doi   link   bibtex   abstract  
Composer Classification Models for Music-Theory Building. Herremans, D.; Martens, D.; and Sörensen, K. In Meredith, D., editor(s), Computational Music Analysis, 14, pages 369–392. Springer International Publishing, Cham, 2016.
Composer Classification Models for Music-Theory Building [link]Paper   doi   link   bibtex   abstract  
An Algebraic Approach to Time-Span Reduction. Hirata, K.; Tojo, S.; and Hamanaka, M. In Meredith, D., editor(s), Computational Music Analysis, 10, pages 251–270. Springer International Publishing, Cham, 2016.
An Algebraic Approach to Time-Span Reduction [link]Paper   doi   link   bibtex   abstract  
Are Stopped Strings Preferred in Sad Music?. Huron, D.; and Trevor, C. Empirical Musicology Review, 11(2): 261. 2016.
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Corpus COFLA: A Research Corpus for the Computational Study of Flamenco Music. Kroher, N.; Díaz-Báñez, J.; Mora, J.; and Gómez, E. Journal on Computing and Cultural Heritage, 9(2): 1–21. may 2016.
Corpus COFLA: A Research Corpus for the Computational Study of Flamenco Music [link]Paper   doi   link   bibtex   abstract  
Analysing Music with Point-Set Compression Algorithms. Meredith, D. In Meredith, D., editor(s), Computational Music Analysis, 13, pages 335–366. Springer International Publishing, Cham, 2016.
Analysing Music with Point-Set Compression Algorithms [link]Paper   doi   link   bibtex   abstract  
Data-based melody generation through multi-objective evolutionary computation. Ponce de León, P. J.; Iñesta, J. M.; Calvo-Zaragoza, J.; and Rizo, D. Journal of Mathematics and Music, 10(2): 173–192. 2016.
Data-based melody generation through multi-objective evolutionary computation [link]Paper   doi   link   bibtex   abstract  
Interactive Melodic Analysis. Rizo, D.; Illescas, P. R.; and Iñesta, J. M. In Meredith, D., editor(s), Computational Music Analysis, 8, pages 191–219. Springer International Publishing, Cham, 2016.
Interactive Melodic Analysis [link]Paper   doi   link   bibtex   abstract  
A standard format proposal for hierarchical analyses and representations. Rizo, D.; and Marsden, A. In Proceedings of the 3rd International workshop on Digital Libraries for Musicology - DLfM 2016, pages 25–32, New York, New York, USA, 2016. ACM Press
A standard format proposal for hierarchical analyses and representations [link]Paper   doi   link   bibtex   abstract  
Contour Algorithms Review. Sampaio, M.; and Kroger, P. MusMat - Brazilian Journal of Music and Mathematics, 1(1): 72–85. 2016.
Contour Algorithms Review [pdf]Paper   link   bibtex   abstract  
A new companion to Digital Humanities. Schreibman, S.; Siemens, R.; and Unsworth, J., editors. John Wiley & Sons Ltd, West Sussex, England, 2016.
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Normalizing Musical Contour Theory. Schultz, R. D. Journal of Music Theory, 60(1): 23–50. 2016.
Normalizing Musical Contour Theory [link]Paper   doi   link   bibtex  
A Wavelet-Based Approach to Pattern Discovery in Melodies. Velarde, G.; Meredith, D.; and Weyde, T. In Meredith, D., editor(s), Computational Music Analysis, 12, pages 303–333. Springer International Publishing, Cham, 2016.
A Wavelet-Based Approach to Pattern Discovery in Melodies [link]Paper   doi   link   bibtex   abstract  
Symbolic Melodic Similarity: State of the Art and Future Challenges. Velardo, V.; Vallati, M.; and Jan, S. Computer Music Journal, 40(1): 10–24. 2016.
Symbolic Melodic Similarity: State of the Art and Future Challenges [link]Paper   link   bibtex   abstract  
Examining Contrasting Expressive Content within First and Second Musical Themes. Warrenburg, L. A. Ph.D. Thesis, The Ohio State University, 2016.
Examining Contrasting Expressive Content within First and Second Musical Themes [link]Paper   link   bibtex  
Computational Methods for Tonality-Based Style Analysis of Classical Music Audio Recordings. Weiß, C. Ph.D. Thesis, Technische Universität Ilmenau, 2016.
Computational Methods for Tonality-Based Style Analysis of Classical Music Audio Recordings [pdf]Paper   doi   link   bibtex   abstract  
The Yale-Classical Archives Corpus. White, C. W.; and Quinn, I. Empirical Musicology Review, 11(1): 50. 2016.
The Yale-Classical Archives Corpus [link]Paper   doi   link   bibtex   abstract  
Getting closer to the essence of music: The con espressione manifesto. Widmer, G. ACM Transactions on Intelligent Systems and Technology, 8(2): 1–14. 2016.
Getting closer to the essence of music: The con espressione manifesto [pdf]Paper   doi   link   bibtex   abstract  
  2015 (16)
Data Mining. Aggarwal, C. C. Springer International Publishing, Cham, 2015.
Data Mining [link]Paper   doi   link   bibtex  
Corpus Analysis Tools For Computational Hook Discovery. Balen, J. V.; Burgoyne, J. A.; Bountouridis, D.; Müllensiefen, D.; and Veltkamp, R. C. . October 2015. Publisher: Zenodo
Corpus Analysis Tools For Computational Hook Discovery. [link]Paper   doi   link   bibtex   abstract  
Evaluating automated classification techniques for folk music genres from the Brazilian Northeast. Barbosa, J.; Mckay, C.; and Fujinaga, I. Proceedings of the 15th Brazilian Symposium on Computer Music,3–12. 2015.
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Haydn's dramatic dissonances: chromaticism and formal process in his string quartets, opp. 9 and 17. Birson, A. M. Ph.D. Thesis, Cornell University, 2015.
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Theme and variation encodings with roman numerals (TaVERn): A new data set for symbolic music analysis. Devaney, J.; Arthur, C.; Condit-Schultz, N.; and Nisula, K. In Proceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR 2015, pages 728–734, Málaga, Spain, 2015. International Society for Music Information Retrieval
Theme and variation encodings with roman numerals (TaVERn): A new data set for symbolic music analysis [pdf]Paper   link   bibtex   abstract  
Is it the song and not the singer? Hit song prediction using structural features of melodies. Frieler, K.; Jakubowski, K.; and Mullensiefen, D. Musikpsychologie Bd., 25: 41–54. 2015.
Is it the song and not the singer? Hit song prediction using structural features of melodies [link]Paper   link   bibtex  
Análise formal de estruturas rítmicas de Meyer em diagrama de Hasse. Gentil-Nunes, P. In volume 2 - Processos criativos, pages 153–169, 2015.
Análise formal de estruturas rítmicas de Meyer em diagrama de Hasse [link]Paper   link   bibtex   abstract  
Corpus-based rhythmic pattern analysis of ragtime syncopation. Koops, H. V.; Volk, A.; and Bas de Haas, W. In Proceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR 2015, pages 483–489, Malaga, Spain, 2015.
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Normative wit: Haydn's personal Sonata Form. Mastic, T. R. Ph.D. Thesis, University of Oregon, 2015.
Normative wit: Haydn's personal Sonata Form [link]Paper   link   bibtex   1 download  
Computational Music Analysis. Meredith, D., editor. Springer, New York, 2015.
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A computational analysis study of children's songs from different countries. Papasarantopoulos, N.; Poulakis, N.; and Anagnostopoulou, C. In Ginsborg, J.; Lamont, A.; Phillips, M.; and Bramley, S., editor(s), Proceedings of the Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music, pages 626–630, Manchester, UK, 2015.
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The Challenge of Data in Digital Musicology. Pugin, L. Frontiers in Digital Humanities, 2(August): 19–21. 2015.
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The sonata principle reformulated for Haydn post-1770 and a typology of his recapitulatory strategies. Riley, M. Journal of the Royal Musical Association, 140(1): 1–39. 2015.
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Another lesson from Lassus: Using computers to analyse counterpoint. Schubert, P.; and Cumming, J. Early Music, 43(4): 577–586. 2015.
Another lesson from Lassus: Using computers to analyse counterpoint [link]Paper   doi   link   bibtex   abstract  
Perspectivas para a análise textural a partir da mediação entre a Teoria dos Contornos e a Análise Particional. de Sousa, D. M. Ph.D. Thesis, Universidade Federal do Rio de Janeiro, 2015.
Perspectivas para a análise textural a partir da mediação entre a Teoria dos Contornos e a Análise Particional [link]Paper   link   bibtex   abstract  
Tonal complexity features for style classification of classical music. Weiß, C.; and Muller, M. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pages 688–692, 2015.
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  2014 (14)
The Use of Minor Mode and Playing With Sonority in the Expositions of Haydn's String Quartets, Opp. 9 and 17. Birson, A. M. Haydn: Online Journal of the Haydn Society of North America, 4(1): 1–30. 2014.
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An Idiom-independent Representation of Chords for Computational Music Analysis and Generation. Cambouropoulos, E.; Kaliakatsos-Papakostas, M.; and Tsougras, C. In Proc. Joint 40th International Computer Music Conference (ICMC) and 11th Sound and Music Computing (SMC) Conference (ICMC- SMC2014), pages 1002–1009, Athens, Greece, 2014.
An Idiom-independent Representation of Chords for Computational Music Analysis and Generation [pdf]Paper   doi   link   bibtex   abstract  
The Expositions of Haydn's String Quartets: A Corpus Analysis. Cortens, E. Haydn: Online Journal of the Haydn Society of North America, 4(1). 2014.
The Expositions of Haydn's String Quartets: A Corpus Analysis [link]Paper   link   bibtex  
Vers une analyse automatique des formes sonates. David, L.; Giraud, M.; Groult, R.; Levé, F.; and Louboutin, C. Journées d'Informatique Musicale (JIM 2014),113–118. 2014.
Vers une analyse automatique des formes sonates [link]Paper   link   bibtex  
Statistical Analysis and Graphic Representation of the Correlation of Bach and Chopin Preludes. Donato, S. M Ph.D. Thesis, University of Vermont, 2014.
Statistical Analysis and Graphic Representation of the Correlation of Bach and Chopin Preludes [link]Paper   link   bibtex  
Towards modeling texture in symbolic data. Giraud, M.; Levé, F.; Mercier, F.; Rigaudière, M.; and Thorez, D. In Proceedings of 15th International Society for Music Information Retrieval Conference, pages 59–64, 2014.
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Listening for Tertiary Rhetoric in Haydn's Op. 77 String Quartets. Grave, F. K. Haydn: Online Journal of the Haydn Society of North America, 4(Spring): 1–27. 2014.
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Statistics in Historical Musicology. Gustar, A. Ph.D. Thesis, Open University, 2014.
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Unisons in Haydn's String Quartets by Mary Hunter. Hunter, M. Haydn: Online Journal of the Haydn Society of North America, 4(Spring). 2014.
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Sonata form Experimentation in Joseph Haydn's String Quartets, Opus 17. MacKay, J. S. Haydn: Online Journal of the Haydn Society of North America, 4(1): 1–31. 2014.
Sonata form Experimentation in Joseph Haydn's String Quartets, Opus 17 [link]Paper   link   bibtex   abstract  
Symbolic Segmentation: A Corpus-Based Analysis of Melodic Phrases. Rodríguez-López, M.; and Volk, A. In Aramaki, M.; Derrien, O.; Kronland-Martinet, R.; and Ystad, S., editor(s), Proc. 10th International Symposium on Computer Music Multidisciplinary Research (CMMR), pages 548–557, Cham, 2014. Springer International Publishing
Symbolic Segmentation: A Corpus-Based Analysis of Melodic Phrases [link]Paper   link   bibtex   abstract  
What Beethoven learned from K464. Rumph, S. Eighteenth Century Music, 11(1): 55–77. 2014.
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Creating research corpora for the computational study of music: The case of the CompMusic project. Serra, X. In Proceedings of the AES International Conference, pages 1–9, London, UK, 2014.
Creating research corpora for the computational study of music: The case of the CompMusic project [link]Paper   link   bibtex   abstract  
Quantifying and Visualizing Tonal Complexity. Weiß, C.; and Müller, M. In Proceedings ofthe 9th Conference on Interdisciplinary Musicology, Berlin, 2014.
Quantifying and Visualizing Tonal Complexity [link]Paper   link   bibtex   abstract  
  2013 (12)
Melodic contour representations in the analysis of children's songs. Anagnostopoulou, C.; Giraud, M.; and Poulakis, N. In van Kranenburg, P.; Anagnostopoulou, C.; and Volk, A., editor(s), Proceedings of the Third International Workshop on Folk Music Analysis, pages 40–43, Utrecht, Netherlands, 2013.
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Partitional Analysis and Rhythmic Partitioning: Mediations Between Rhythm and Texture. Gentil-Nunes, P. In 13th International Music Theory Conference, pages 44–51, Vilnius, Lituania, 2013.
Partitional Analysis and Rhythmic Partitioning: Mediations Between Rhythm and Texture [link]Paper   link   bibtex  
On the Virtuous and the Vexatious in an Age of Big Data. Huron, D. Music Perception, 31(1): 4–9. sep 2013.
On the Virtuous and the Vexatious in an Age of Big Data [link]Paper   doi   link   bibtex   1 download  
Expecting the Unexpected: Haydn's Three-Part Expositions. Ludwig, A. R. Lumen: Selected Proceedings from the Canadian Society for Eighteenth-Century Studies, 32: 31. 2013.
Expecting the Unexpected: Haydn's Three-Part Expositions [link]Paper   doi   link   bibtex  
Franz Joseph Haydn and the Five-Octave Classical Keyboard: Registral Extremes, Formal Emphases and Tonal Strategies. MacKay, J. S. Canadian University Music Review, 23(1-2): 126–144. 2013.
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The Implementation of a Contour Module for Music21. Sampaio, M.; Kroger, P.; Menezes, M. P.; da Rocha, J. M.; Ourives, N. d. S.; and de Carvalho, D. Q. ART Music Review, 24. 2013.
The Implementation of a Contour Module for Music21 [link]Paper   link   bibtex  
Toward a new comparative musicology. Savage, P.; and Brown, S. Analytical Approaches to World Music, 2(2): 148–197. 2013.
Toward a new comparative musicology [link]Paper   doi   link   bibtex   abstract  
Using multivariate statistics. Tabachnick, B. G.; and Fidell, L. S. of Always learningPearson, Boston Munich, 6. ed., international ed edition, 2013.
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Statistical Analysis of Harmony and Melody in Rock Music. Temperley, D.; and de Clercq, T. Journal of New Music Research, 42(3): 187–204. 2013.
Statistical Analysis of Harmony and Melody in Rock Music [pdf]Paper   doi   link   bibtex   abstract  
Elementary Statistics. Triola, M. F. Pearson Addison Wesley, Boston, 10 edition, 2013.
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Some Statistical Properties of Tonality, 1650-1900. White, C. W. Ph.D. Thesis, Yale University, 2013.
Some Statistical Properties of Tonality, 1650-1900 [link]Paper   link   bibtex   abstract  
Digital Musicology and MIR : Papers , Projects and Challenges. Wiering, F.; and Benetos, E. In Brito Jr, A. d. S.; Gouyen, F.; and Dixon, S., editor(s), Proceedings of the 14th International Society for Music Information Retrieval Conference, pages 2–5, Curitiba, 2013.
Digital Musicology and MIR : Papers , Projects and Challenges [pdf]Paper   link   bibtex   abstract  
  2012 (5)
The Loosening Role of Polyphony: Texture and Formal Functions in Mozart's “Haydn” Quartets. Bakulina, O. E. Intersections: Canadian Journal of Music, 32(1-2): 7–42. sep 2012.
The Loosening Role of Polyphony: Texture and Formal Functions in Mozart's “Haydn” Quartets [link]Paper   doi   link   bibtex   abstract  
Hepokoski and Darcy's Haydn. Ludwig, A. Haydn: Online Journal of the Haydn Society of North America, 2(2): 1–27. 2012.
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A Teoria de Relações de Contornos Musicais: inconsistências, soluções e ferramentas. Sampaio, M. Ph.D. Thesis, Universidade Federal da Bahia, 2012.
A Teoria de Relações de Contornos Musicais: inconsistências, soluções e ferramentas [link]Paper   link   bibtex   abstract  
Melodic similarity among folk songs: An annotation study on similarity-based categorization in music. Volk, A.; and van Kranenburg, P. Musicae Scientiae, 16(0): 317–339. 2012.
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Feature-Based Analysis of Haydn String Quartets. Wong, L. 2012.
Feature-Based Analysis of Haydn String Quartets [pdf]Paper   link   bibtex  
  2011 (11)
Categorization of Tonal Music Style: A quantitative investigation. Bellmann, H. G. Ph.D. Thesis, Griffith University, 2011.
Categorization of Tonal Music Style: A quantitative investigation [pdf]Paper   link   bibtex  
Stochastic processes and database-driven Musicology. Burgoyne, J. A. Ph.D. Thesis, McGill University, 2011.
Stochastic processes and database-driven Musicology [link]Paper   link   bibtex   abstract  
True or False? Re-Assessing the Voice-Leading Role of Haydn's So-Called “False Recapitulations”. Burstein, L. P. Journal of Schenkerian Studies, 5: 1–37. 2011.
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Musical Style Identification Using Grammatical Inference: The Encoding Problem. Cruz-Alcázar, P. P.; Vidal-Ruiz, E.; and Pérez-Cortés, J. C. In Sanfeliu, A.; and Shulcloper, J. R., editor(s), Proc. Iberoamerican Congress on Pattern Recognition, pages 375–382, 2011. Springer Berlin Heidelberg
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Feature Extraction and Machine Learning on Symbolic Music using the music21 Toolkit. Cuthbert, M. S.; Ariza, C.; and Friedland, L. In Proceedings of International Symposium on Music Information Retrieval, 2011.
Feature Extraction and Machine Learning on Symbolic Music using the music21 Toolkit [pdf]Paper   link   bibtex  
Blurring the Boundaries: Toward a Multivalent Reading of Three First-Movement Sonata Forms in Haydn's Op. 50 String Quartets. Duncan, S. P. Musicological Explorations, 12(0): 5–40. 2011.
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Mozart's Viennese instrumental music: A study of stylistic re-invention. Keefe, S. P. Boydell Press, Woodbridge, 2011.
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Joseph Haydn's “witty” play on Hepokoski and Darcy's Elements of Sonata Theory. James Hepokoski/Warren Darcy, Elements of Sonata Theory: Norms, Types, and Deformations in the Late-Eighteenth-Century Sonata, New York: Oxford University Press 2006. Neuwirth, M. Zeitschrift der Gesellschaft für Musiktheorie [Journal of the German-Speaking Society of Music Theory], 8(1): 199–220. 2011.
Joseph Haydn's “witty” play on Hepokoski and Darcy's Elements of Sonata Theory. James Hepokoski/Warren Darcy, Elements of Sonata Theory: Norms, Types, and Deformations in the Late-Eighteenth-Century Sonata, New York: Oxford University Press 2006. [link]Paper   doi   link   bibtex   abstract  
Haydn's Missing Middles. Riley, M. Music Analysis, 30(1): 37–57. 2011.
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Computational Methods for the Analysis of Musical Structure. Sapp, C. S. Ph.D. Thesis, Stanford University, 2011.
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Unfolding the potential of computational musicology. Volk, A.; Wiering, F.; and Kranenburg, P. V. Proceedings of the13th International Conference on Informatics and Semiotics in Organisations (ICISO),137–144. 2011.
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Melodic Accent as an Emergent Property of Tonal Motion. Ammirante, P.; and Thompson, W. F. Empirical Musicology Review, 5(3): 94–107. 2010.
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Polyphony as a loosening technique in Mozart's Haydn quartets. Bakulina, O. Ph.D. Thesis, McGill University, 2010.
Polyphony as a loosening technique in Mozart's Haydn quartets [link]Paper   link   bibtex  
Mid-section cadences in Haydn's sonata-form movements. Burstein, L. P. Studia Musicologica, 51(1-2): 91–107. 2010.
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Musical Form, Forms & Formenlehre: Three Methodological Reflections. Caplin, W. E.; Hepokoski, J. A.; and Webster, J. Leuven University Press, Leuven, Belgium, 2 edition, 2010.
Musical Form, Forms & Formenlehre: Three Methodological Reflections [link]Paper   link   bibtex   abstract  
Discovery of distinctive patterns in music. Conklin, D. Intelligent Data Analysis, 14(5): 547–554. sep 2010.
Discovery of distinctive patterns in music [link]Paper   doi   link   bibtex   abstract  
Music21 A Toolkit for Computer-Aided Musicology and Symbolic Music Data. Cuthbert, M. S.; and Ariza, C. In Proceedings of International Symposium on Music Information Retrieval, pages 637–642, 2010.
Music21 A Toolkit for Computer-Aided Musicology and Symbolic Music Data [pdf]Paper   link   bibtex  
The Reinstatement of Polyphony in Musical Construction: Fugal Finales in Haydn's Op. 20 String Quartets. Grier, J. The Journal of Musicology, 27(1): 55–83. 2010.
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Towards automatic extraction of harmony information from music signals. Harte, C. Ph.D. Thesis, Queen Mary, University of London, 2010.
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Characterisation of composer style using high-level musical features. Mearns, L.; Tidhar, D.; and Dixon, S. Proceedings of 3rd international workshop on Machine learning and music - MML '10,37. 2010.
Characterisation of composer style using high-level musical features [link]Paper   doi   link   bibtex  
Does a 'monothematic' expositional design have tautological implications for the recapitulation? An alternative approach to 'altered recapitulations' in Haydn. Neuwirth, M. Studia Musicologica, 51(3-4): 369–385. 2010.
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Artificial Intelligence: A Modern Approach. Russel, S. J.; and Norvig, P. Pearson, Boston, 3 edition, 2010.
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Melodic Contour Similarity Using Folk Melodies. Schmuckler, M. A. Music Perception, 28(2): 169–194. 2010.
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Applying subgroup discovery for the analysis of string quartet movements. Taminau, J.; Hillewaere, R.; Meganck, S.; Conklin, D.; Nowé, A.; and Manderick, B. MML'10 - Proceedings of the 3rd ACM International Workshop on Machine Learning and Music, Co-located with ACM Multimedia 2010, (May 2014): 29–32. 2010.
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  2009 (10)
Contour reduction algorithms: a theory of pitch and duration hierarchies for post-tonal music. Bor, M. Ph.D. Thesis, University of British Columbia, 2009.
Contour reduction algorithms: a theory of pitch and duration hierarchies for post-tonal music [link]Paper   link   bibtex  
Anomaly detection: A Survey. Chandola, V.; Banerjee, A.; and Kumar, V. ACM Computing Surveys, 41(3): 1–58. jul 2009.
Anomaly detection: A Survey [link]Paper   doi   link   bibtex   abstract  
The string quartet. Eisen, C. In The Cambridge History of Eighteenth-Century Music, pages 648–660. Cambridge University Press, Cambridge, 2009.
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Análise particional: uma mediação entre composição musical e a teoria das partições. Gentil-Nunes, P. Ph.D. Thesis, Universidade Federal do Rio de Janeiro, 2009.
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The Cambridge History of Eighteenth-Century Music. Keefe, S. P., editor. Cambridge University Press, Cambridge, 2009.
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Metric Manipulations in Haydn and Mozart: Chamber Music for Strings, 1787-1791. Mirka, D. Oxford University Press, Oxford, 2009.
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Is Music Structure Annotation Multi-Dimensional? A Proposal for Robust Local Music Annotation . Peeters, G.; and Deruty, E. In Baumann, S.; Burred, J. J.; Nürnberger, A.; and Stober, S., editor(s), Proceedings of the 3rd Workshop on Learning the Semantics of Audio Signals (LSAS), pages 75–90, Graz, Austria, 2009.
Is Music Structure Annotation Multi-Dimensional? A Proposal for Robust Local Music Annotation . [pdf]Paper   link   bibtex  
A diachronic-transformational theory of musical contour relations. Schultz, R. D. Ph.D. Thesis, University of Washington, 2009.
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Before the joke: Texture and sociability in the Largo of Haydn's op. 33, no. 2. Sutcliffe, W. D. Journal of Musicological Research, 28(2-3): 92–118. 2009.
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Python 3 Reference Manual. Van Rossum, G.; and Drake, F. L. CreateSpace, Scotts Valley, CA, 2009.
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  2008 (5)
Centrality and Distribution of Partitions according to the Transfer Distance. Belgacem, L.; and Hudry, O. In DIMACS/LAMSADE Workshop on Algorithmic Decision Theory and Meeting of the COST Action ICO602, Paris, 2008.
Centrality and Distribution of Partitions according to the Transfer Distance [pdf]Paper   link   bibtex  
A musicologia enquanto método científico. Castagna, P. Revista do Conservatório Brasileiro de Pelotas, (1): 7–31. 2008.
A musicologia enquanto método científico [link]Paper   link   bibtex   abstract  
Mozart, Haydn and Early Beethoven 1781-1802. Heartz, D. W. W. Norton & Company, New York and London, 2008.
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Instrumental arias or sonic tableaux: 'Voice' in Haydn's string quartets Opp. 9 and 17. November, N. Music and Letters, 89(3): 346–372. 2008.
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A manual annotation method for melodic similarity and the study of melody feature sets. Volk, A.; van Kranenburg, P.; Garbers, J.; Wiering, F.; Veltkamp, R. C; and Grijp, L. P In Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 101–106, 2008.
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  2007 (5)
Music in the Galant Style. Gjerdingen, R. O. Oxford University Press, New York, 2007.
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Applied Multivariate Statistical Analysis. Johnson, R. A.; and Wichern, D. W. Pearson Prentice Hall, Upper Saddle River, New Jersey, 6 edition, 2007.
Applied Multivariate Statistical Analysis [pdf]Paper   link   bibtex  
Style-independent computer-assisted exploratory analysis of large music collections. McKay, C.; and Fujinaga, I. Journal of Interdisciplinary Music Studies, 1(1): 63–85. 2007.
Style-independent computer-assisted exploratory analysis of large music collections [link]Paper   doi   link   bibtex   abstract  
Register in Haydn's String Quartets: Four Case Studies. November, N. Music Analysis, 26(3): 289–322. oct 2007.
Register in Haydn's String Quartets: Four Case Studies [link]Paper   doi   link   bibtex  
Statistical modeling and retrieval of polyphonic music. Unal, E.; Georgiou, P. G.; Narayanan, S. S.; and Chew, E. In 2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Proceedings, pages 405–409, Crete, 2007.
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  2006 (9)
Interestingness measures for data mining: A Survey. Geng, L.; and Hamilton, H. J. ACM Computing Surveys, 38(3): 9. sep 2006.
Interestingness measures for data mining: A Survey [link]Paper   doi   link   bibtex   abstract  
Parsemas e o método de Fux. Gentil-Nunes, P. Revista Pesquisa e Música, 1: 38–47. 2006.
Parsemas e o método de Fux [link]Paper   link   bibtex  
The String Quartets of Joseph Haydn. Grave, F. K.; and Grave, M. Oxford University Press, New York, NY, 2006.
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Elements of Sonata Theory: Norms, Types and Deformations in the Late-Eighteenth-Century Sonata. Hepokoski, J. A.; and Darcy, W. Oxford University Press, Oxford, 2006.
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Extended upbeats in the classical minuet: Interactions with hypermeter and phrase structure. McClelland, R. Music Theory Spectrum, 28(1): 23–56. 2006.
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Peak Experience High Register and Structure in the “Razumovsky” Quartets, Op. 59. Miller, M. In Kinderman, W., editor(s), The String Quartets of Beethoven, 3. University of Illinois Press, Urbana and Chicago, 2006.
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Analise de Séries temporais. Morettin, P. A.; and Toloi, C. M. C. Edgard Blucher, São Paulo, 2 edition, 2006.
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Cyclic Integration in the instrumental music of Haydn and Mozart. Proksch, B. J. Ph.D. Thesis, University of North Carolina at Chapel Hill, 2006.
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Does melodic accent shape the melody contour in Estonian folk songs ?. Särg, T. In Proceedings of the 9th International Conference on Music Perception and Cognition (ICMPC-2006) and 6th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM), pages 1304–1309, Bologna, 2006.
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  2005 (7)
Regards on two regards by Messiaen: Post-tonal music segmentation using pitch context distances in the spiral array. Chew, E. Journal of New Music Research, 34(4): 341–354. dec 2005.
Regards on two regards by Messiaen: Post-tonal music segmentation using pitch context distances in the spiral array [link]Paper   doi   link   bibtex   abstract  
Computational Musicology: An Artificial Life Approach. Coutinho, E.; Gimenes, M.; Martins, J. M.; and Miranda, E. R. In 2005 Portuguese Conference on Artificial Intelligence, pages 85–93, dec 2005. Ieee
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Symbolic Representation Of Musical Chords: A Proposed Syntax For Text Annotations. Harte, C.; Sandler, M.; Abdallah, S.; and Gómez, E. In Proceedings of the 4th International Conference on Music Information Retrieval (ISMIR 2005), pages 66–71, London, 2005.
Symbolic Representation Of Musical Chords: A Proposed Syntax For Text Annotations [link]Paper   link   bibtex  
Beethoven: The Music and the Life. Lockwood, L. W. W. Norton & Company, New York, 2005.
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The construction and evaluation of statistical models of melodic structure in music perception and composition. Pearce, M. T. Ph.D. Thesis, City University of London, 2005.
The construction and evaluation of statistical models of melodic structure in music perception and composition [link]Paper   link   bibtex   abstract  
Online database of scores in the Humdrum file format. Sapp, C. S. In Proc. 6th International Conference on Music Information Retrieval, pages 2, London, UK, 2005.
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The problem of the 'Introduction' in Beethoven's late quartets. Taylor, B. Ad Parnassum, 3(6): 45–64. 2005.
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  2004 (8)
Integer Partitions. Andrews, G.; and Eriksson, K. Cambridge University Press, Cambridge, 2004.
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Statistics in Musicology. Beran, J. Chapman & Hall/CRC, Boca Raton, Fla, 2004.
Statistics in Musicology [link]Paper   link   bibtex  
The Classical Cadence: Conceptions and Misconceptions. Caplin, W. E. Journal of the American Musicological Society, 57(1): 51–118. 2004.
The Classical Cadence: Conceptions and Misconceptions [link]Paper   doi   link   bibtex   abstract  
Computational and comparative musicology. Cook, N. In Clarke, E.; and Cook, N., editor(s), Empirical musicology: Aims, methods, prospects, 6, pages 103–126. Oxford University Press, 2004.
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Densidade e linearidade na configuração de texturas musicais. Gentil-Nunes, P.; and Carvalho, A. In Anais do 4° Colóquio de Pesquisa do PPGM-UFRJ, pages 40–49, Rio de Janeiro, 2004.
Densidade e linearidade na configuração de texturas musicais [link]Paper   link   bibtex  
Melodic Similarity: Looking for a Good Abstraction Level. Grachten, M.; Arcos, J. L.; and Mántaras, R. L. D. In Proceedings of the 5th International Society for Music Information Retrieval, 2004.
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Musical style recognition - a quantitative approach. Kranenburg, P. V.; and Backer, E. In Proceedings of the Conference on Interdisciplinary Musicology, pages 1–10, 2004.
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Musical Proportion and Formal Function in Classical Sonata Form: Three Case Studies from Late Haydn and Early Beethoven. Mackay, J. S. Theory and Practice, 29(2004): 39–67. 2004.
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  2003 (3)
Recapitulation Recomposition in the Sonata-Form First Movements of Haydn ' s String Quartets : Style Change and Compositional Technique. Larson, S. Music Analysis, 22(1/2): 139–177. 2003.
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The Cambridge Companion to the String Q. Stowell, R., editor. Cambridge University Press, Cambridge, UK, 2003.
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Uniformity, Balance, and Smoothness in Atonal Voice Leading. Straus, J. N. Music Theory Spectrum, 25(2): 305–352. 2003.
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  2002 (2)
Theories of musical rhythm in the eighteenth and nineteenth centuries. Caplin, W. E. In The Cambridge History of Western Music Theory, 21, pages 657–694. Cambridge University Press, Cambridge, UK, 2002.
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Como elaborar projetos de pesquisa. Gil, A. C. Atlas, São Paulo, 2002.
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  2001 (7)
Vienna. Antonicek, T.; Beales, D.; Botstein, L.; Klein, R.; and Goertz, H. 2001.
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Mozart. Eisen, C.; Rieger, E.; Eisen, C.; Sadie, S.; Angermüller, R.; Oldman, C B; and Stafford, W. 2001.
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Concerto Style in Haydn's String Quartets. Grave, F. K. The Journal of Musicology, 18(1): 76–97. 2001.
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The Haydn-Dedication Quartets: Allusion or Influence?. La Rue, J. Journal of Musicology, 18(2): 361–373. apr 2001.
The Haydn-Dedication Quartets: Allusion or Influence? [link]Paper   doi   link   bibtex   abstract  
Computers and music. Manning, P.; Selfridge-Field, E.; Reily, S. A.; and Pople, A. 2001.
Computers and music [link]Paper   doi   link   bibtex  
Música na Escola Brasileira. Frequência de elementos musicais em canções vernáculas da Bahia utilizando análise manual e por computador: sugestões para aplicação na Educação Musical. Oliveira, A. d. J. Teses na Educação Musical, (2). 2001.
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Haydn, (Franz) Joseph. Webster, J.; and Feder, G. 2001.
Haydn, (Franz) Joseph [link]Paper   doi   link   bibtex   3 downloads  
  2000 (5)
A reader's guide to Haydn's early string quartets. Drabkin, W. Greenwood Press, Wesport, CT, 2000.
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String quartet. Eisen, C.; Baldassare, A.; and Griffiths, P. 2000.
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String Quartets Op 17, Complete. Haydn, J. Dover Publications, Inc, Mineola, NY, 2000.
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Beethoven, Ludwig van. Kerman, J.; Tyson, A.; Burnham, S. G.; Douglas Johnson; and Drabkin, W. 2000.
Beethoven, Ludwig van [link]Paper   doi   link   bibtex  
Techniques of expression in Viennese string music (1780-1830) : reconstructing fingering and bowing practices. Moran, J. G. Ph.D. Thesis, University of London, 2000.
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  1999 (6)
Music Research Using Humdrum: A User's Guide. Huron, D. 1999.
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The New Empiricism: Systematic Musicology in a Postmodern Age. Huron, D. 1999.
The New Empiricism: Systematic Musicology in a Postmodern Age [link]Paper   link   bibtex   abstract   1 download  
Texture, Register, and Their Formal Roles in the Music of Witold Lutosławski. Klein, M. Indiana Theory Review, 20: 37–70. 1999.
Texture, Register, and Their Formal Roles in the Music of Witold Lutosławski [link]Paper   doi   link   bibtex  
Testing Models of Melodic Contour Similarity. Schmuckler, M. A. Music Perception, 16(3): 295–326. 1999.
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Continuous Exposition and Tonal Structure in Three Late Haydn Works. Suurpaa, L. Music Theory Spectrum, 21(2): 174–199. 1999.
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What's Key for Key? The Krumhansl-Schmuckler Key-Finding Algorithm Reconsidered. Temperley, D. Music Perception, 17(1): 65–100. oct 1999.
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  1998 (5)
Surprising Returns: The VII # in Beethoven's Op. 18 No. 3, and Its Antecedents in Haydn. Burstein, L. P. Music Analysis, 17(3): 295–312. 1998.
Surprising Returns: The VII # in Beethoven's Op. 18 No. 3, and Its Antecedents in Haydn [link]Paper   link   bibtex  
Classical Form: A Theory of Formal Functions for the Instrumental Music of Haydn, Mozart, and Beethoven. Caplin, W. E. Oxford University Press, New York, 1998.
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Voice-leading spaces. Morris, R. D. Music Theory Spectrum, 20(2): 175–208. 1998.
Voice-leading spaces [link]Paper   link   bibtex  
Haydn Studies. Sutcliffe, W. D., editor. Cambridge University Press, Cambridge, 1998.
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CRC Concise Encyclopedia of Mathematics. Weisstein, E. W. CRC Press, Boca Raton, FL, 1998.
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  1997 (3)
A bibliography of statistical applications in musicology. Nettheim, N. Musicology Australia, 20(1): 94–106. 1997.
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The Classical Style: Haydn, Mozart, Beethoven. Rosen, C. W. W. Norton & Company, New York, NY, Expanded e edition, 1997.
The Classical Style: Haydn, Mozart, Beethoven [link]Paper   link   bibtex  
Haydn and his World. Sisman, E. Princeton University Press, Princeton, NJ, 1997.
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  1996 (4)
The Critical Editing of Music: History, Method, and Practice. Grier, J. Cambridge University Press, New York, NY, 1996.
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What is melodic accent? Converging evidence from musical practice. Huron, D.; and Royal, M. Music Perception, 13(4): 489–516. 1996.
What is melodic accent? Converging evidence from musical practice [link]Paper   link   bibtex  
The Melodic Arch in Western Folksongs. Huron, D. Computing in Musicology, 10: 3–23. 1996.
The Melodic Arch in Western Folksongs [link]Paper   link   bibtex  
A Generative Theory of Tonal Music. Lerdahl, F.; and Jackendoff, R. S. MIT Press, 1996.
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  1995 (3)
Metrical Dissonance in Haydn. Grave, F. K. The Journal of Musicology, 13(2): 168–202. 1995.
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The Humdrum Toolkit: Reference Manual. Huron, D. 1995.
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Tonal harmony, with an introduction to twentieth-century music. Kostka, S. M.; and Payne, D. McGraw-Hill, New York, NY, 3rd edition, 1995.
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  1994 (2)
Music Reference and Research Materials: An Annotated Bibliography. Duckles, V. H; and Keller, M. A Schirmer Books, New York, 4th edition, 1994.
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The Beethoven Quartet Companion. Winter, R.; and Martin, R., editors. University of California Press, Berkeley, CA, 1994.
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  1993 (2)
Computational Musicology A Survey on Methodologies and Applications. Camilleri, L. Revue Informatique et Statistique dans les Sciences humaines, XXIX: 51–65. 1993.
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New Directions in the Theory and Analysis of Musical Contour. Morris, R. D. Music Theory Spectrum, 15(2): 205–228. oct 1993.
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  1992 (3)
Beethoven: studies in the creative process. Lockwood, L. Harvard University Press, Cambridge, MA; London, 1992.
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Haydn: String Quartets, Op. 50. Sutcliffe, W. D. Cambridge University Press, Cambridge, 1992.
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Beethoven's "Mozart" Quartet. Yudkin, J. Journal of the American Musicological Society, 45(1): 30–74. 1992.
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  1991 (1)
Engaging Strategies in Haydn's Opus 33 String Quartets. Wheelock, G. A. Eighteenth-Century Studies, 25(1): 1–30. 1991.
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  1989 (2)
A Teoria de Heinrich Schenker: uma breve introdução. Gerling, C. C. Em Pauta, 1(1): 22–34. 1989.
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A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Rabiner, L. R. In Proceedings of the IEEE, pages 257–286, 1989.
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  1988 (4)
Fingering in haydn's string quartets. Drabkin, W. Early Music, 16(1): 50–57. 1988.
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Haydn: his life and music. Landon, H. C. R.; and Jones, D. W. Indiana University Press, Bloomington & Indianapolis, 1988.
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A generalized theory of musical contour: its application to melodic and rhythmic analysis of non-tonal music and its perceptual and pedagogical implications. Marvin, E. W. Ph.D. Thesis, University of Rochester, 1988.
A generalized theory of musical contour: its application to melodic and rhythmic analysis of non-tonal music and its perceptual and pedagogical implications [link]Paper   link   bibtex   abstract  
Sonata Forms. Rosen, C. W. W. Norton & Company, New York and London, Rev. Ed. edition, 1988.
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  1987 (3)
Structural functions in music. Berry, W. Dover Publications, Inc, New York, 1987.
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Relating musical contours: Extensions of a Theory for Contour. Marvin, E. W.; and Laprade, P. A. Journal of Music Theory, 31(2): 225–267. 1987.
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Composition with pitch-classes: A theory of compositional design. Morris, R. D. Yale University Press, 1987.
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  1986 (2)
Form in music: an examination of traditional techniques of musical form and their applications in historical and contemporary styles. Berry, W. Prentice-Hall, Englewood Cliffs, N.J, 2nd edition, 1986.
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The Great Haydn Quartets: Their interpretation. Keller, H. J. M. Dent & Sons Ltd, London, 1 edition, 1986.
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  1985 (1)
A Methodology for the Discussion of Contour: Its Application to Schoenberg's Music. Friedmann, M. L. Journal of Music Theory, 29(2): 223–248. 1985.
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  1984 (1)
The theory of Partitions. Andrews, G. Cambridge University Press, Cambridge, 1984.
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  1983 (2)
Tonal function and metrical accent: A historical perspective. Caplin, W. E. Music Theory Spectrum, 5(1): 1–14. 1983.
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Erratum: "melodic accent: experiments and a tentative model" [J. Acoust. Soc. Am. 71, 1596-1605 (1982)]. Thomassen, J. M. The Journal of the Acoustical Society of America, 73(1): 373. jan 1983.
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  1982 (2)
Texture as a Sign in Classic and Early Romantic Music. Levy, J. M. Journal of the American Musicological Society, 35(3): 482–531. oct 1982.
Texture as a Sign in Classic and Early Romantic Music [link]Paper   doi   link   bibtex  
Melodic accent: Experiments and a tentative model. Thomassen, J. M. The Journal of the Acoustical Society of America, 71(6): 1596. 1982.
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  1981 (7)
The Submediant in Haydn's Development Sections. Andrews, H. L. In Haydn Studies: Proceedings of the International Haydn Conference, pages 465–471, Washington, DC, 1981. W. W. Norton & Company
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LOWESS: A Program for Smoothing Scatterplots by Robust Locally Weighted Regression. Cleveland, W. S. The American Statistician, 35(1): 54. February 1981.
LOWESS: A Program for Smoothing Scatterplots by Robust Locally Weighted Regression [link]Paper   doi   link   bibtex  
Proceedings of the International Haydn Conference. Larsen, J. P.; Serwer, H.; and Webster, J., editors. W. W. Norton & Company, New York and London, 1981.
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Gesture, Form and Syntax in Haydn's Music. Levy, J. M. In Haydn Studies: Proceedings of the International Haydn Conference, pages 355–363, Washington, DC, 1981. W. W. Norton & Company
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The Significance of Haydn's Op. 33. Moe Jr., O. In Haydn Studies: Proceedings of the International Haydn Conference, pages 445–450, Washington, DC, 1981. W. W. Norton & Company
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The alla breve “March”: Its Evolution and Meaning in Haydn's String Quartets. Saslav, I. In Haydn Studies: Proceedings of the International Haydn Conference, pages 308–314, Washington, DC, 1981. W. W. Norton & Company
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Haydn's Hybrid Variations. Sisman, E. In Haydn Studies: Proceedings of the International Haydn Conference, pages 509–515, Washington, DC, 1981. W. W. Norton & Company
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  1980 (1)
Classic Music: Expression, Form and Style. Ratner, L. G Schirmer Books, New York, 1980.
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  1979 (2)
Robust Locally Weighted Regression and Smoothing Scatterplots. Cleveland, W. S. Journal of the American Statistical Association, 74(368): 829–836. December 1979.
Robust Locally Weighted Regression and Smoothing Scatterplots [link]Paper   doi   link   bibtex  
The Beethoven Quartets. Kerman, J. WW Norton & Company, New York, NY, 1979.
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  1977 (1)
The Bass Part in Haydn's Early String Quartets. Webster, J. The Musical Quarterly, 63(3): 390–424. 1977.
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  1976 (2)
The Theory of Partitions. Andrews, G. E. Volume 2 of Encyclopedia of Mathematics and its ApplicationsAddison-Wesley Publishing Company, London, 1976.
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Musical Form: Studies in analysis and synthesis. Kohs, E. B. Houghton Mifflin, Boston, 1976.
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  1975 (1)
The Chronology of Haydn's String Quartets. Webster, J. The Musical Quarterly, 61(1): 17–46. 1975.
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  1974 (2)
Joseph Haydn and the String quartet. Barrett-Ayres, R. Schirmer Books, New York, 1974.
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Haydn. Hughes, R. J. M. Dent & Sons Ltd, London, 1974.
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  1973 (2)
The Rise of Chamber Music. Geiringer, K. In Wellesz, E.; and Sternfeld, F. W, editor(s), The New Oxford history of music. Vol. 7, Age of enlightenment 1745-1790, IX, pages 515–573. Oxford University Press, Oxford, 1973.
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Chamber Music, Divertimento, Serenade. Pauly, R. G. In Music in the classic period, 9, pages 140–158. Prentice-Hall, Englewood Cliffs, NJ, 1973.
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  1970 (1)
Beethoven's Contrapuntal Studies with Haydn. Mann, A. The Musical Quarterly, 56(4): 711–726. 1970.
Beethoven's Contrapuntal Studies with Haydn [link]Paper   link   bibtex  
  1969 (1)
Thematic Profile and Character in the Quartet-Finales of Joseph Haydn (A Contribution to the Micro-Analysis of Thematic Structure). Bartha, D. Studia Musicologica Academiae Scientiarum Hungaricae, 11(1/4): 35–62. 1969.
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  1961 (1)
Register and the Large-Scale Connection. Oster, E. Journal of Music Theory, 5(1): 54. 1961.
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  1957 (1)
Joseph Haydn: thematisch-bibliographisches Werkverzeichnis. van Hoboken, A. Schott & Co., Ltd., Mainz, 1957.
Joseph Haydn: thematisch-bibliographisches Werkverzeichnis [link]Paper   link   bibtex  
  1950 (1)
Ambiguity in the string quartets of Joseph Haydn. Silbert, D. Musical Quarterly, 36(1): 562—-573. 1950.
Ambiguity in the string quartets of Joseph Haydn [link]Paper   doi   link   bibtex  
  1946 (1)
Haydn: a creative life in Music. Geiringer, K. W. W. Norton & Company, New York, 1946.
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  1928 (1)
Limiting forms of the frequency distribution of the largest or smallest member of a sample. Fisher, R. A.; and Tippett, L. H. Mathematical Proceedings of the Cambridge Philosophical Society, 24(2): 180–190. 1928.
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