Topaklanmiş NOMA ile tek-kanaldan algisal ses kaynak ayriştirma

Translated title of the contribution: Single channel audio source separation by Clustered NMF

Serap Kirbiz, Bilge Gunsel

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

Abstract

This paper proposes to incorporate the perceptual quality criteria into a single-channel audio source decomposition method. Unlike the existing methods, the proposed method applies a perceptually weighted Clustered Non-negative Matrix Factorization (PW-CNMF) on magnitude spectrogram of the mixed signal. CNMF decomposes an audio mixture into an additive parts based representation where the parts usually correspond to individual notes. These parts correspond to the basis vectors and Shifted Non-negative Matrix Factorization (SNMF) is used to cluster these bases into sources. Perceptually weighted CNMF algorithm has been tested for the separation of pitched instruments with improved quality of the separated sources.

Translated title of the contributionSingle channel audio source separation by Clustered NMF
Original languageTurkish
Title of host publication2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
PublisherIEEE Computer Society
Pages469-472
Number of pages4
ISBN (Print)9781479948741
DOIs
Publication statusPublished - 2014
Event2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Trabzon, Turkey
Duration: 23 Apr 201425 Apr 2014

Publication series

Name2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings

Conference

Conference2014 22nd Signal Processing and Communications Applications Conference, SIU 2014
Country/TerritoryTurkey
CityTrabzon
Period23/04/1425/04/14

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