Signal subspace approach for speech enhancement in nonstationary noises

Chiung Wen Li, Sheau-Fang Lei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we propose a speech enhancement algorithm that is based on signal subspace approach (SSA) combined with RL noise estimation for nonstationary noises. A signal/noise Karhunen-Loeve transform (SNK) is used to implement signal subspace decomposition for noisy speech signal. RL noise estimation is used for adaptive estimates over time for nonstationary noises. Since the noise covariance matrix for SSA can be recursively updated by RL noise estimation, it results that the proposed algorithm can efficiently suppress the noise while reducing speech distortion. Objective experimental measurements indicated that the proposed algorithm was preferred over other SSA methods when tested with sentences corrupted by nonstationary noises.

Original languageEnglish
Title of host publicationISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings
Pages1580-1585
Number of pages6
DOIs
Publication statusPublished - 2007 Dec 1
EventISCIT 2007 - 2007 International Symposium on Communications and Information Technologies - Sydney, Australia
Duration: 2007 Oct 162007 Oct 19

Publication series

NameISCIT 2007 - 2007 International Symposium on Communications and Information Technologies Proceedings

Other

OtherISCIT 2007 - 2007 International Symposium on Communications and Information Technologies
CountryAustralia
CitySydney
Period07-10-1607-10-19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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