Forward-backward minima controlled recursive averaging to speech enhancement

Yeou Jiunn Chen, Jiunn Liang Wu

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Proceedings 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
頁面49-52
頁數4
DOIs
出版狀態Published - 2013
事件2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, CIMSIVP 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 - Singapore, Singapore
持續時間: 2013 四月 162013 四月 19

出版系列

名字Proceedings 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
國家/地區Singapore
城市Singapore
期間13-04-1613-04-19

All Science Journal Classification (ASJC) codes

  • 電腦繪圖與電腦輔助設計
  • 電腦視覺和模式識別

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