NMF/NTF-based methods applied for user-guided audio source separation: An overview

Manh Quan Bui, Viet Hang Duong, Shih Pang Tseng, Zhao Ze Hong, Bo Chang Chen, Zhi Wei Zhong, Jia Ching Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Recently, user-guided or user-assisted audio separation, which exploits the auxiliary information of sources provided by users, is a new direction in audio source separation. Nonnegative matrix or tensor factorization (NMF/NTF) is one of the promising classes of approaches to address this task. In this paper, we present a survey of recent developments in user-guided source separation approaches based on NMF/NTF and illustrate various ways for incorporating the provided knowledge from user.

Original languageEnglish
Title of host publication2016 International Conference on Orange Technologies, ICOT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages80-83
Number of pages4
ISBN (Electronic)9781538648315
DOIs
StatePublished - 1 Feb 2018
Event2016 International Conference on Orange Technologies, ICOT 2016 - Melbourne, Australia
Duration: 18 Dec 201620 Dec 2016

Publication series

Name2016 International Conference on Orange Technologies, ICOT 2016
Volume2018-January

Conference

Conference2016 International Conference on Orange Technologies, ICOT 2016
Country/TerritoryAustralia
CityMelbourne
Period18/12/1620/12/16

Keywords

  • Nonnegative matrix factorization
  • Nonnegative tensor factorization
  • Temporal annotation
  • Time-frequency annotaion
  • User-guided constraints

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