On a multichannel maximum SNR filter for noise reduction in the STFT domain

Gongping Huang, Jacob Benesty, Jingdong Chen

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

Abstract

This paper studies the multichannel maximum signal-to-noise ratio (SNR) filter for noise reduction in the short-time Fourier transform (STFT) domain. By considering both the interchannel and interframe information, the maximum SNR filter is formulated by maximizing the output SNR with the minimum distortion constraint. Simulations are performed to examine the performance of the deduced multichannel maximum SNR noise reduction filter in different conditions and the results demonstrated that this filter can significantly increase both the SNR and the speech quality.

Original languageEnglish
Title of host publication2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages697-700
Number of pages4
ISBN (Electronic)9781479919482
DOIs
StatePublished - 31 Aug 2015
EventIEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Chengdu, China
Duration: 12 Jul 201515 Jul 2015

Publication series

Name2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings

Conference

ConferenceIEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015
Country/TerritoryChina
CityChengdu
Period12/07/1515/07/15

Keywords

  • maximum SNR filter
  • multichannel
  • Noise reduction
  • short-time Fourier transform (STFT) domain
  • speech enhancement

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