BibBase

Keyword: prosody

2022 (1)

Investigating the usefulness of i-vectors for automatic language characterization. Seyssel, M. D., Wisniewski, G., Dupoux, E., & Ludusan, B. In Speech Prosody 2022 - 11th International Conference on Speech Prosody, Lisbonne, Portugal, May, 2022.

Investigating the usefulness of i-vectors for automatic language characterization [link]

Paper doi abstract bibtex

@inproceedings{seyssel_investigating_2022,
	address = {Lisbonne, Portugal},
	title = {Investigating the usefulness of i-vectors for automatic language characterization},
	url = {https://hal.archives-ouvertes.fr/hal-03823002},
	doi = {10.21437/speechprosody.2022-94},
	abstract = {Work done in recent years has shown the usefulness of using automatic methods for the study of linguistic typology. However, the majority of proposed approaches come from natural language processing and require expert knowledge to predict typological information for new languages. An alternative would be to use speech-based methods that do not need extensive linguistic annotations, but considerably less work has been done in this direction. The current study aims to reduce this gap, by investigating a promising speech representation, i-vectors, which by capturing suprasegmental features of language, can be used for the automatic characterization of languages. Employing data from 24 languages, covering several linguistic families, we computed the i-vectors corresponding to each sentence and we represented the languages by their centroid i-vector. Analyzing the distance between the language centroids and phonological, inventory and syntactic distances between the same languages, we observed a significant correlation between the i-vector distance and the syntactic distance. Then, we explored in more detailed a number of syntactic features and we proposed a method for predicting the value of the most promising feature, based on the i-vector information. The obtained results, an 87\% classification accuracy, are encouraging and we envision to extend this method further.},
	urldate = {2023-01-06},
	booktitle = {Speech {Prosody} 2022 - 11th {International} {Conference} on {Speech} {Prosody}},
	author = {Seyssel, Maureen De and Wisniewski, Guillaume and Dupoux, Emmanuel and Ludusan, Bogdan},
	month = may,
	year = {2022},
	keywords = {Language typology, Prosody, Suprasegmental information, Syntax, i-vector},
}

2018 (1)

Caracterización del hablante con fines judiciales: fenómenos fónicos propios del habla espontánea. Llisterri, J., Machuca, M. J., & Ríos, A. 2018. Paper presented at the 36 Congreso Internacional de la Asociación Española de Lingüística Aplicada. Lingüística aplicada y transferencia del conocimiento: empleabilidad, internacionalización y retos sociales
bibtex

@unpublished{Llisterri:2018aa,
	Abstracturl = {http://liceu.uab.cat/~joaquim/phonetics/AESLA_18/AESLA_18.html},
	Author = {Llisterri, Joaquim and Machuca, María Jesús and Ríos, Antonio},
	Date = {2018-04},
	Date-Added = {2018-04-25 07:18:20 +0000},
	Date-Modified = {2018-09-20 09:11:42 +0200},
	Keywords = {forensic, forensic phonetics, speaking styles, spontaneous speech, Spanish, disfluencies, pauses, duration, temporal factors, phonetics, prosody},
	Location = {Cádiz, Spain},
	Note = {Paper presented at the 36 Congreso Internacional de la Asociación Española de Lingüística Aplicada. Lingüística aplicada y transferencia del conocimiento: empleabilidad, internacionalización y retos sociales},
	Organization = {AESLA, Asociación Española de Lingüística Aplicada -- Universidad de Cádiz},
	Title = {Caracterización del hablante con fines judiciales: fenómenos fónicos propios del habla espontánea},
	Year = {2018},
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	Bdsk-Url-1 = {http://liceu.uab.cat/~joaquim/phonetics/AESLA_18/AESLA_18.html}}

2017 (3)

Profiling fluency: An analysis of individual variation in disfluencies in adult males. McDougall, K. & Duckworth, M. Speech Communication, 95:16–-27, 2017.
doi abstract bibtex

@article{McDougall_2017,
	Author = {McDougall, Kirsty and Duckworth, Martin},
	Date = {2017},
	Date-Added = {2018-05-12 07:10:54 +0000},
	Date-Modified = {2018-05-12 20:41:53 +0000},
	Doi = {10.1016/j.specom.2017.10.001},
	Journal = {Speech Communication},
	Keywords = {disfluencies, English, filled pauses, forensic, forensic phonetics, pauses, phonetics, prosody, temporal factors},
	Pages = {16–-27},
	Title = {Profiling fluency: An analysis of individual variation in disfluencies in adult males},
	Volume = {95},
	Year = {2017},
	Abstract = {Individual variation in non-fluency behaviour in normally fluent (NF) adults, is investigated. Differences among speakers in the usage of a range of features such as filled and silent pauses, sound prolongations, repetition of phrases, words or part-words, and self-interruptions is explored in the spontaneous speech of 20 male speakers of Standard Southern British English from the DyViS database. The speech analysed is semi-spontaneous, and taken from a simulated police interview task. A taxonomy of fluency features for forensic analysis (TOFFA) was applied to this speech data. The rate of occurrence of each feature per 100 syllables is calculated for each speaker. Results show that individuals vary considerably in the rates of these fluency features occurring in their speech and that between-speaker differences are present in the types of features speakers produce. Implications of the significance of these findings for forensic phonetics are discussed.},
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	Bdsk-Url-1 = {https://doi.org/10.1016/j.specom.2017.10.001}}

Phonetic analysis of filled pauses based on a Hungarian-English learner corpus. Gósy, M., Gyarmathy, D., & Beke, A. International Journal of Learner Corpus Research, 3(2):149–-174, 2017.
doi bibtex

@article{G_sy_2017,
	Author = {Gósy, Mária and Gyarmathy, Dorottya and Beke, András},
	Date = {2017},
	Date-Added = {2018-01-26 10:50:16 +0000},
	Date-Modified = {2018-05-14 08:00:11 +0000},
	Doi = {10.1075/ijlcr.3.2.03gos},
	Journal = {International Journal of Learner Corpus Research},
	Keywords = {L2, L2 acquisition, EFL, Hungarian NL, disfluencies, pauses, filled pauses, phonetics, acoustic phonetics, temporal factors, prosody},
	Number = {2},
	Pages = {149–-174},
	Title = {Phonetic analysis of filled pauses based on a Hungarian-English learner corpus},
	Volume = {3},
	Year = {2017},
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	Bdsk-Url-1 = {http://dx.doi.org/10.1075/ijlcr.3.2.03gos}}

Las vocales de relleno en español: nuevos datos y algunas reflexiones. Villa, J., Gil, J., & Lahoz, J. M. In Nuevos estudios sobre comunicación social, pages 165–169, Santiago de Cuba, 2017. Centro de Lingüística Aplicada.
bibtex

@inproceedings{Villa:2017aa,
	Address = {Santiago de Cuba},
	Author = {Villa, José and Gil, Juana and Lahoz, José María},
	Booktitle = {Nuevos estudios sobre comunicación social},
	Date = {2017},
	Date-Added = {2017-10-31 22:19:13 +0000},
	Date-Modified = {2018-05-14 17:36:22 +0000},
	Keywords = {Spanish, phonetics, acoustic cues, segmental, vowels, prosody, disfluencies, pauses, filled pauses, temporal factors, formant frequencies},
	Pages = {165--169},
	Publisher = {Centro de Lingüística Aplicada},
	Title = {Las vocales de relleno en español: nuevos datos y algunas reflexiones},
	Year = {2017},
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2016 (4)

El tempo como factor discriminante en el análisis forense del habla: análisis descriptivo en hablantes bilingües (catalán-español). Cremades, E. Estudios interlingüísticos, 4:13–35, 2016.

El tempo como factor discriminante en el análisis forense del habla: análisis descriptivo en hablantes bilingües (catalán-español) [pdf]

Paper bibtex

@article{Cremades:2016aa,
	Author = {Cremades, Elga},
	Date = {2016},
	Date-Added = {2016-12-04 09:58:51 +0000},
	Date-Modified = {2018-05-14 06:30:33 +0000},
	Journal = {Estudios interlingüísticos},
	Keywords = {phonetics, Spanish, Catalan, bilingualism, forensic, forensic phonetics, temporal factors, speech rate, prosody},
	Pages = {13--35},
	Title = {El tempo como factor discriminante en el análisis forense del habla: análisis descriptivo en hablantes bilingües (catalán-español)},
	Url = {https://estudiosinterlinguisticos.files.wordpress.com/2016/12/04cremadescortiella.pdf},
	Volume = {4},
	Year = {2016},
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Prosodic transfer in the imitation of a foreign accent. Schwab, S., Llisterri, J., Garrido, J. M., & Fernández Trinidad, M. 2016. Paper presented at the 2nd Workshop on Second Language Prosody (SLaP 2016)
abstract bibtex

Foreign accent imitation tasks have proved to be useful tools in the area of forensic phonetics (e.g., Neuhauser, 2008) and in L2 speech research (e.g., Rojczyk, 2015). In our experiment, we aim at obtaining new insights on prosodic transfer in situations in which the speaker has been asked to make a conscious effort to imitate a non-native accent. We used a subset of the corpus being collected within the framework of the DIANA project to compare the productions of Spanish speakers imitating a French accent (IA, Imitated Accent) with those of the same speakers in Spanish L1 (NA, Native Accent) on the one hand, and with those of native speakers of French speaking in Spanish L2 (RA, Real Accent) on the other. The recordings were automatically segmented into voiced and unvoiced intervals using Praat (Boersma & Weenink, 2016) in order to compute the rhythmical measurements proposed by Dellwo & Fourcin (2013). Additionally, long-term distributional measures of fundamental frequency, such as f0 mean and range were calculated. A preliminary exploration of the data on read speech (at the moment, N = 4) shows that the imitated accent differs from the native accent, but not from the real accent, in particular in voiced intervals. More specifically, we observe higher PVI values for voiced intervals (i.e., the average duration difference between two consecutive voiced intervals) in IA in comparison with NA, but not compared to RA. This finding could be explained by the variability introduced by the duration increase resulting from the attempt to imitate the French accentuation, which is realized by the lengthening of the final syllable of the rhythmic group (Lacheret-Dujour & Beaugendre, 1999). We also found that mean f0 value was higher in the imitated accent than in NA for one of the speakers, in line with the results reported by Neuhauser (2008) for German speakers imitating a French accent. It is expected that the study of a significant number of speakers and the inclusion of semi-spontaneous speech in our analyses will provide data on the L2 prosodic features which can be successfully imitated and on those which are the result of prosodic transfer from the L1. References Boersma, P., & Weenink, D. (2016). Praat: doing phonetics by computer [computer program]. Retrieved from http://www.praat.org/ Dellwo, V., & Fourcin, A. (2013). Rhythmic characteristics of voice between and within languages. Travaux Neuchâtelois de Linguistique, 59, 87-107. Lacheret-Dujour, A., & Beaugendre, F. (1999). La prosodie du français. Paris: Éditions du CNRS. Neuhauser, S. (2008). Voice disguise using a foreign accent: Phonetic and linguistic variation. International Journal of Speech Language and the Law, 15(2), 131-159. Rojczyk, A. (2015). Using FL accent Imitation in L1 in foreign-language speech research. In E. Waniek-Klimczak & M. Pawlak (Eds.), Teaching and researching the pronunciation of English. (pp. 223-233). Cham: Springer International Publishing Switzerland.

@unpublished{Schwab:2016aa,
	Abstracturl = {http://liceu.uab.cat/~joaquim/applied_linguistics/SLAP_16/SLAP_16.html},
	Author = {Schwab, Sandra and Llisterri, Joaquim and Garrido, Juan María and Fernández Trinidad, Marianela},
	Date = {2016-11},
	Date-Added = {2016-09-25 08:21:19 +0000},
	Date-Modified = {2018-09-18 08:59:38 +0200},
	Eventdate = {2016-11-18/2016-11-19},
	Keywords = {prosody, ELE, French, rhythm, foreign accent, voice disguise, forensic, forensic phonetics, accent imitation},
	Location = {Graz, Austria},
	Note = {Paper presented at the 2nd Workshop on Second Language Prosody (SLaP 2016)},
	Organization = {University of Graz},
	Title = {Prosodic transfer in the imitation of a foreign accent},
	Year = {2016},
	Abstract = {Foreign accent imitation tasks have proved to be useful tools in the area of forensic phonetics (e.g., Neuhauser, 2008) and in L2 speech research (e.g., Rojczyk, 2015). In our experiment, we aim at obtaining new insights on prosodic transfer in situations in which the speaker has been asked to make a conscious effort to imitate a non-native accent. 
We used a subset of the corpus being collected within the framework of the DIANA project to compare the productions of Spanish speakers imitating a French accent (IA, Imitated Accent) with those of the same speakers in Spanish L1 (NA, Native Accent) on the one hand, and with those of native speakers of French speaking in Spanish L2 (RA, Real Accent) on the other. The recordings were automatically segmented into voiced and unvoiced intervals using Praat (Boersma & Weenink, 2016) in order to compute the rhythmical measurements proposed by Dellwo & Fourcin (2013). Additionally, long-term distributional measures of fundamental frequency, such as f0 mean and range were calculated. 
A preliminary exploration of the data on read speech (at the moment, N = 4) shows that the imitated accent differs from the native accent, but not from the real accent, in particular in voiced intervals. More specifically, we observe higher PVI values for voiced intervals (i.e., the average duration difference between two consecutive voiced intervals) in IA in comparison with NA, but not compared to RA. This finding could be explained by the variability introduced by the duration increase resulting from the attempt to imitate the French accentuation, which is realized by the lengthening of the final syllable of the rhythmic group (Lacheret-Dujour & Beaugendre, 1999). We also found that mean f0 value was higher in the imitated accent than in NA for one of the speakers, in line with the results reported by Neuhauser (2008) for German speakers imitating a French accent.
It is expected that the study of a significant number of speakers and the inclusion of semi-spontaneous speech in our analyses will provide data on the L2 prosodic features which can be successfully imitated and on those which are the result of prosodic transfer from the L1.
References
Boersma, P., & Weenink, D. (2016). Praat: doing phonetics by computer [computer program]. Retrieved from http://www.praat.org/ 
Dellwo, V., & Fourcin, A. (2013). Rhythmic characteristics of voice between and within languages. Travaux Neuchâtelois de Linguistique, 59, 87-107.
Lacheret-Dujour, A., & Beaugendre, F. (1999). La prosodie du français. Paris: Éditions du CNRS.
Neuhauser, S. (2008). Voice disguise using a foreign accent: Phonetic and linguistic variation. International Journal of Speech Language and the Law, 15(2), 131-159.
Rojczyk, A. (2015). Using FL accent Imitation in L1 in foreign-language speech research. In E. Waniek-Klimczak & M. Pawlak (Eds.), Teaching and researching the pronunciation of English. (pp. 223-233). Cham: Springer International Publishing Switzerland.},
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The effect of bilingualism on filled pauses and their discriminatory power. Lo, J. J. H. 2016. Paper presented at the 25th Annual Conference of the International Association for Forensic Phonetics and Acoustics
bibtex

@unpublished{Lo:2016aa,
	Abstracturl = {https://sites.google.com/a/york.ac.uk/iafpa-25/},
	Author = {Lo, Justin Jing Hoi},
	Date = {2016-07},
	Date-Added = {2018-05-11 20:07:30 +0000},
	Date-Modified = {2018-05-18 14:25:25 +0000},
	Keywords = {forensic, forensic phonetics, disfluencies, pauses, filled pauses, bilingualism, phonetics, temporal factors, prosody},
	Location = {York, UK},
	Note = {Paper presented at the 25th Annual Conference of the International Association for Forensic Phonetics and Acoustics},
	Title = {The effect of bilingualism on filled pauses and their discriminatory power},
	Year = {2016},
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Estructura formántica de las pausas sonoras en español. Machuca, M. J. & Ríos, A. In 53 reflexiones sobre aspectos de la fonética y otros temas de lingüística, pages 67-76. Edicions de la Universitat de Barcelona, Barcelona, 2016.

Estructura formántica de las pausas sonoras en español [pdf]

Paper bibtex

@incollection{Machuca:2016aa,
	Address = {Barcelona},
	Author = {Machuca, María Jesús and Ríos, Antonio},
	Booktitle = {53 reflexiones sobre aspectos de la fonética y otros temas de lingüística},
	Date = {2016},
	Date-Added = {2016-09-24 19:07:09 +0000},
	Date-Modified = {2018-09-18 08:55:55 +0200},
	Editor = {Fernández Planas, Ana María},
	Keywords = {Spanish, prosody, temporal factors, pauses, phonetics,filled pauses, disfluencies},
	Pages = {67-76},
	Publisher = {Edicions de la Universitat de Barcelona},
	Title = {Estructura formántica de las pausas sonoras en español},
	Url = {http://stel.ub.edu/labfon/amper/homenaje-eugenio-martinez-celdran/53reflexiones/12-MMachuca-ARios.pdf},
	Year = {2016},
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2015 (3)

Vocal acoustic analysis as a biometric indicator of information processing: Implications for neurological and psychiatric disorders. Cohen, A., Dinzeo, T., Donovan, N., Brown, C., & Morrison, S. Psychiatry Research, 2015.
abstract bibtex

@article{
 title = {Vocal acoustic analysis as a biometric indicator of information processing: Implications for neurological and psychiatric disorders},
 type = {article},
 year = {2015},
 identifiers = {[object Object]},
 keywords = {Affect,Cognition,Emotion,Expression,Load,Prosody,Speech},
 volume = {226},
 id = {bf550077-4a9a-30d0-a0f3-0c3f357bb6f6},
 created = {2017-03-04T05:13:32.000Z},
 file_attached = {false},
 profile_id = {3ceb72d7-7086-31f0-ab93-b96a09f869e0},
 last_modified = {2017-03-04T05:13:32.000Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 abstract = {© 2015 Elsevier Ireland Ltd.Vocal expression reflects an integral component of communication that varies considerably within individuals across contexts and is disrupted in a range of neurological and psychiatric disorders. There is reason to suspect that variability in vocal expression reflects, in part, the availability of "on-line" resources (e.g., working memory, attention). Thus, understanding vocal expression is a potentially important biometric index of information processing, not only across but within individuals over time. A first step in this line of research involves establishing a link between vocal expression and information processing systems in healthy adults. The present study employed a dual attention experimental task where participants provided natural speech while simultaneously engaged in a baseline, medium or high nonverbal processing-load task. Objective, automated, and computerized analysis was employed to measure vocal expression in 226 adults. Increased processing load resulted in longer pauses, fewer utterances, greater silence overall and less variability in frequency and intensity levels. These results provide compelling evidence of a link between information processing resources and vocal expression, and provide important information for the development of an automated, inexpensive and uninvasive biometric measure of information processing.},
 bibtype = {article},
 author = {Cohen, A.S. and Dinzeo, T.J. and Donovan, N.J. and Brown, C.E. and Morrison, S.C.},
 journal = {Psychiatry Research},
 number = {1}
}

The development of a Hungarian-English learner speech database and a related analysis of filled pauses. Gósy, M., Gyarmathy, D., & Beke, A. In Workshop on Phonetic Learner Corpora, 2015.

The development of a Hungarian-English learner speech database and a related analysis of filled pauses [pdf]

Paper bibtex

@inproceedings{gosy_development_2015,
	Author = {Gósy, Mária and Gyarmathy, Dorottya and Beke, András},
	Booktitle = {Workshop on Phonetic Learner Corpora},
	Date = {2015},
	Date-Modified = {2018-07-21 09:55:06 +0000},
	Eventdate = {2015-08-12},
	Keywords = {EFL, filled pauses, Hungarian, L2, language resources, pauses, phonetics, prosody, read speech, speaking styles, speech corpus, spontaneous speech, task oriented dialogue, temporal factors, learner corpus},
	Location = {Glasgow, Scotland, UK},
	Title = {The development of a Hungarian-English learner speech database and a related analysis of filled pauses},
	Url = {http://www.ifcasl.org/docs/Gosy_final.pdf},
	Year = {2015},
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	Bdsk-Url-1 = {http://www.ifcasl.org/docs/Gosy_final.pdf}}

Temporal variables in first and second language speech and perception of fluency. Rose, R. In ICPhS 2015. Proceedings of the 18th International Congress of Phonetic Sciences, Glasgow, 2015. The University of Glasgow.