Score-informed Source Separation for Musical Audio Recordings: An Overview. Ewert, S., Pardo, B., Muller, M., & Plumbley, M. D. IEEE Signal Processing Magazine, 31(3):116–124, May, 2014. ![Score-informed Source Separation for Musical Audio Recordings: An Overview [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex In recent years, source separation has been a central research topic in music signal processing, with applications in stereo-to-surround up-mixing, remixing tools for disc jockeys or producers, instrument-wise equalizing, karaoke systems, and preprocessing in music analysis tasks. Musical sound sources, however, are often strongly correlated in time and frequency, and without additional knowledge about the sources, a decomposition of a musical recording is often infeasible. To simplify this complex task, various methods have recently been proposed that exploit the availability of a musical score. The additional instrumentation and note information provided by the score guides the separation process, leading to significant improvements in terms of separation quality and robustness. A major challenge in utilizing this rich source of information is to bridge the gap between high-level musical events specified by the score and their corresponding acoustic realizations in an audio recording. In this article, we review recent developments in score-informed source separation and discuss various strategies for integrating the prior knowledge encoded by the score.
@article{ewert_score-informed_2014,
title = {Score-informed {Source} {Separation} for {Musical} {Audio} {Recordings}: {An} {Overview}},
volume = {31},
issn = {1558-0792},
url = {https://ieeexplore.ieee.org/abstract/document/6784086},
doi = {10.1109/MSP.2013.2296076},
abstract = {In recent years, source separation has been a central research topic in music signal processing, with applications in stereo-to-surround up-mixing, remixing tools for disc jockeys or producers, instrument-wise equalizing, karaoke systems, and preprocessing in music analysis tasks. Musical sound sources, however, are often strongly correlated in time and frequency, and without additional knowledge about the sources, a decomposition of a musical recording is often infeasible. To simplify this complex task, various methods have recently been proposed that exploit the availability of a musical score. The additional instrumentation and note information provided by the score guides the separation process, leading to significant improvements in terms of separation quality and robustness. A major challenge in utilizing this rich source of information is to bridge the gap between high-level musical events specified by the score and their corresponding acoustic realizations in an audio recording. In this article, we review recent developments in score-informed source separation and discuss various strategies for integrating the prior knowledge encoded by the score.},
number = {3},
journal = {IEEE Signal Processing Magazine},
author = {Ewert, S. and Pardo, B. and Muller, M. and Plumbley, M. D.},
month = may,
year = {2014},
keywords = {\#nosource},
pages = {116--124},
}
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