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 proceedingConference contributionpeer-review

2 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 languageEnglish
Title of host publicationProceedings - 2016 International Computer Symposium, ICS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages351-354
Number of pages4
ISBN (Electronic)9781509034383
DOIs
StatePublished - 16 Feb 2017
Event2016 International Computer Symposium, ICS 2016 - Chiayi, Taiwan
Duration: 15 Dec 201617 Dec 2016

Publication series

NameProceedings - 2016 International Computer Symposium, ICS 2016

Conference

Conference2016 International Computer Symposium, ICS 2016
Country/TerritoryTaiwan
CityChiayi
Period15/12/1617/12/16

Keywords

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

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