A Survey of Polyphonic Sound Event Detection Based on Non-Negative Matrix Factorization

Manh Quan Bui; Viet Hang Duong; Seksan Mathulaprangsan; Bach Tung Pham; Wei Jing Lee; Jia Ching Wang

doi:10.1109/ICS.2016.0077

A Survey of Polyphonic Sound Event Detection Based on Non-Negative Matrix Factorization

Manh Quan Bui, Viet Hang Duong, Seksan Mathulaprangsan, Bach Tung Pham, Wei Jing Lee, Jia Ching Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Nowadays, sound event detection (SED) is a popular study in machine listening area. Detecting overlapping sound events, in which many sound events occur simultaneously, is challenging and interesting topic. Besides, non-negative matrix factorization (NMF) and its derived methods are suitably used to perform SED. This paper presents a survey of recent approaches in SED based on NMF methods that provides the understanding and strategies for detecting polyphonic sound events.

Original language	English
Title of host publication	Proceedings - 2016 International Computer Symposium, ICS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	351-354
Number of pages	4
ISBN (Electronic)	9781509034383
DOIs	https://doi.org/10.1109/ICS.2016.0077
State	Published - 16 Feb 2017
Event	2016 International Computer Symposium, ICS 2016 - Chiayi, Taiwan Duration: 15 Dec 2016 → 17 Dec 2016

Publication series

Name	Proceedings - 2016 International Computer Symposium, ICS 2016

Conference

Conference	2016 International Computer Symposium, ICS 2016
Country/Territory	Taiwan
City	Chiayi
Period	15/12/16 → 17/12/16

Keywords

Non-negative matrix factorization
convolutive non-negative matrix factorization
sound event detection

Access to Document

10.1109/ICS.2016.0077

Cite this

Bui, M. Q., Duong, V. H., Mathulaprangsan, S., Pham, B. T., Lee, W. J., & Wang, J. C. (2017). A Survey of Polyphonic Sound Event Detection Based on Non-Negative Matrix Factorization. In Proceedings - 2016 International Computer Symposium, ICS 2016 (pp. 351-354). Article 7858499 (Proceedings - 2016 International Computer Symposium, ICS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICS.2016.0077

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title = "A Survey of Polyphonic Sound Event Detection Based on Non-Negative Matrix Factorization",

abstract = "Nowadays, sound event detection (SED) is a popular study in machine listening area. Detecting overlapping sound events, in which many sound events occur simultaneously, is challenging and interesting topic. Besides, non-negative matrix factorization (NMF) and its derived methods are suitably used to perform SED. This paper presents a survey of recent approaches in SED based on NMF methods that provides the understanding and strategies for detecting polyphonic sound events.",

keywords = "Non-negative matrix factorization, convolutive non-negative matrix factorization, sound event detection",

author = "Bui, {Manh Quan} and Duong, {Viet Hang} and Seksan Mathulaprangsan and Pham, {Bach Tung} and Lee, {Wei Jing} and Wang, {Jia Ching}",

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Bui, MQ, Duong, VH, Mathulaprangsan, S, Pham, BT, Lee, WJ & Wang, JC 2017, A Survey of Polyphonic Sound Event Detection Based on Non-Negative Matrix Factorization. in Proceedings - 2016 International Computer Symposium, ICS 2016., 7858499, Proceedings - 2016 International Computer Symposium, ICS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 351-354, 2016 International Computer Symposium, ICS 2016, Chiayi, Taiwan, 15/12/16. https://doi.org/10.1109/ICS.2016.0077

A Survey of Polyphonic Sound Event Detection Based on Non-Negative Matrix Factorization. / Bui, Manh Quan; Duong, Viet Hang; Mathulaprangsan, Seksan et al.
Proceedings - 2016 International Computer Symposium, ICS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 351-354 7858499 (Proceedings - 2016 International Computer Symposium, ICS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Mathulaprangsan, Seksan

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AU - Lee, Wei Jing

AU - Wang, Jia Ching

PY - 2017/2/16

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N2 - Nowadays, sound event detection (SED) is a popular study in machine listening area. Detecting overlapping sound events, in which many sound events occur simultaneously, is challenging and interesting topic. Besides, non-negative matrix factorization (NMF) and its derived methods are suitably used to perform SED. This paper presents a survey of recent approaches in SED based on NMF methods that provides the understanding and strategies for detecting polyphonic sound events.

AB - Nowadays, sound event detection (SED) is a popular study in machine listening area. Detecting overlapping sound events, in which many sound events occur simultaneously, is challenging and interesting topic. Besides, non-negative matrix factorization (NMF) and its derived methods are suitably used to perform SED. This paper presents a survey of recent approaches in SED based on NMF methods that provides the understanding and strategies for detecting polyphonic sound events.

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KW - convolutive non-negative matrix factorization

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International Computer Symposium, ICS 2016

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ER -

Bui MQ, Duong VH, Mathulaprangsan S, Pham BT, Lee WJ, Wang JC. A Survey of Polyphonic Sound Event Detection Based on Non-Negative Matrix Factorization. In Proceedings - 2016 International Computer Symposium, ICS 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 351-354. 7858499. (Proceedings - 2016 International Computer Symposium, ICS 2016). doi: 10.1109/ICS.2016.0077

A Survey of Polyphonic Sound Event Detection Based on Non-Negative Matrix Factorization

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