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Score-Informed Source Separation for Multichannel Orchestral Recordings
Joint Authors
Miron, Marius
Carabias-Orti, Julio J.
Bosch, Juan J.
Gómez, Emilia
Janer, Jordi
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-05
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper proposes a system for score-informed audio source separation for multichannel orchestral recordings.
The orchestral music repertoire relies on the existence of scores.
Thus, a reliable separation requires a good alignment of the score with the audio of the performance.
To that extent, automatic score alignment methods are reliable when allowing a tolerance window around the actual onset and offset.
Moreover, several factors increase the difficulty of our task: a high reverberant image, large ensembles having rich polyphony, and a large variety of instruments recorded within a distant-microphone setup.
To solve these problems, we design context-specific methods such as the refinement of score-following output in order to obtain a more precise alignment.
Moreover, we extend a close-microphone separation framework to deal with the distant-microphone orchestral recordings.
Then, we propose the first open evaluation dataset in this musical context, including annotations of the notes played by multiple instruments from an orchestral ensemble.
The evaluation aims at analyzing the interactions of important parts of the separation framework on the quality of separation.
Results show that we are able to align the original score with the audio of the performance and separate the sources corresponding to the instrument sections.
American Psychological Association (APA)
Miron, Marius& Carabias-Orti, Julio J.& Bosch, Juan J.& Gómez, Emilia& Janer, Jordi. 2016. Score-Informed Source Separation for Multichannel Orchestral Recordings. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1108489
Modern Language Association (MLA)
Miron, Marius…[et al.]. Score-Informed Source Separation for Multichannel Orchestral Recordings. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-19.
https://search.emarefa.net/detail/BIM-1108489
American Medical Association (AMA)
Miron, Marius& Carabias-Orti, Julio J.& Bosch, Juan J.& Gómez, Emilia& Janer, Jordi. Score-Informed Source Separation for Multichannel Orchestral Recordings. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1108489
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108489