Forward-backward minima controlled recursive averaging to speech enhancement

Yeou Jiunn Chen, Jiunn-Liang Wu

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

2 Citations (Scopus)

Abstract

The performance of hearing aids would be seriously reduced by nonstationary noises. In this paper, forward-backward minima controlled recursive averaging is proposed to improve the speech intelligibility by reducing the components of nonstationary noises. A forward-backward estimation is developed to correctively track nonstationary noises, especially the beginning of nonstationary noises. To suppress these nonstationary noises, a log-spectral amplitude estimator was selected as the gain function and used to effectively estimate the power spectrum of the noises. Moreover, harmonic regeneration was integrated to reduce the overestimation of noises. The experimental results demonstrated that our approach is able to improve performance compared to previous approaches.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Pages49-52
Number of pages4
DOIs
Publication statusPublished - 2013 Sep 16
Event2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 - Singapore, Singapore
Duration: 2013 Apr 162013 Apr 19

Publication series

NameProceedings of the 2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Other

Other2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
CountrySingapore
CitySingapore
Period13-04-1613-04-19

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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