Speech enhancement with masking properties in eigen-domain for colored noise

Chang Huai You, Kong Aik Lee, Cheung Chi Leung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, we study speech enhancement in eigen-domain. In our previous work on audible noise reduction, we use masking properties of the human auditory system to define the audible noise quantity in the eigen-domain. We then derived the speech enhancement algorithm using white noise model. Without loss of generality, in this paper, we introduce the noise reduction method for colored noise. Through many simulations, we show that colored noise modeling is superior over other existing eigen-decomposition methods in terms of objective and subjective evaluations.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages4748-4751
Number of pages4
DOIs
Publication statusPublished - May 2011
Externally publishedYes
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: 22 May 201127 May 2011

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Country/TerritoryCzech Republic
CityPrague
Period22/05/1127/05/11

Keywords

  • eigen decomposition
  • human auditory system
  • Speech enhancement

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Speech enhancement with masking properties in eigen-domain for colored noise'. Together they form a unique fingerprint.

Cite this