Speech enhancement using arch model

Aviva Atkins, Israel Cohen

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

Abstract

In this paper, we investigate the use of the autoregressive conditional heteroscedasticity (ARCH) model as a replacement to the decision-directed method in the log-spectral amplitude estimator for speech enhancement. We employ three sound quality measures: speech distortion, noise reduction and musical noise, and explain the effect the ARCH model parameters have on these measures. We demonstrate and compare the use of the decision-directed and ARCH estimators and show that the ARCH model achieves better results than the decision-directed for some of these measures, while compromising between the speech distortion and noise reduction.

Original languageEnglish
Title of host publication2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016
ISBN (Electronic)9781509020072
DOIs
StatePublished - 19 Oct 2016
Event15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016 - Xi'an, China
Duration: 13 Sep 201616 Sep 2016

Publication series

Name2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016

Conference

Conference15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016
Country/TerritoryChina
CityXi'an
Period13/09/1616/09/16

Keywords

  • ARCH
  • Musical noise
  • Noise reduction
  • Speech enhancement
  • Time-frequency analysis

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Acoustics and Ultrasonics

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