Speech enhancement using harmonic regeneration with improved wavelet based a-priori signal to noise ratio estimator

Tak Wai Shen, Pak Kong Lun, Tai Chiu Hsung

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

1 Citation (Scopus)

Abstract

This paper presents a speech enhancement method based on an improved wavelet based multitaper spectrum (MTS) a-priori signal to noise (SNR) ratio estimator and an harmonics regeneration noise reduction technique. The major advantage of this method is that we can effectively suppress noise in a noisy speech even in very low SNR environments without sacrificing speech intelligibility. In this paper, we devise a speech enhancement system using the improved wavelet based algorithm for the estimation of the a-priori SNR of noisy speeches, and the harmonics regeneration technique is applied to further restore the harmonics and remove the noise remained in the speed spectral. Objective evaluation results show that the proposed method demonstrates better noise suppression ability over conventional approaches without evident degradation of speech quality.
Original languageEnglish
Title of host publicationISPACS 2010 - 2010 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings
DOIs
Publication statusPublished - 1 Dec 2010
Event18th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2010 - Chengdu, China
Duration: 6 Dec 20108 Dec 2010

Conference

Conference18th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2010
Country/TerritoryChina
CityChengdu
Period6/12/108/12/10

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Communication

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