A novel speech enhancement using forward-backward minima-controlled recursive averaging

Yeou Jiunn Chen, Jiunn Liang Wu

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Nonstationary noises may seriously damage speech intelligibility and reduce the performance of hearing aids. This paper proposes a novel speech enhancement approach, named forward-backward minima-controlled recursive averaging, that helps to solve this problem. A forward-backward estimation is developed to correctively track nonstationary noises, especially the beginnings of nonstationary noises. To suppress these nonstationary noises, a log-spectral amplitude estimator was selected as the gain function for our approach and used to effectively estimate the power spectrum of the noise. Moreover, harmonic regeneration was integrated to reduce the overestimation of noises generated by the forward-backward estimation. The experimental results demonstrated that our approach is able to improve performance compared with previous approaches using both objective and subjective measures.

Original languageEnglish
Pages (from-to)395-406
Number of pages12
JournalJournal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A
Issue number3
Publication statusPublished - 2014 Apr 3

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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