Jointly optimal near-end and far-end multi-microphone speech intelligibility enhancement based on mutual information

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Abstract

The processing required for the global maximization of the intelligibility of speech acquired by multiple microphones and rendered by a single loudspeaker, is considered in this paper. The intelligibility is quantized, based on the mutual information rate between the message spoken by the talker and the message as interpreted by the listener. We prove that then, in each of a set of narrow-band channels, the processing can be decomposed into a minimum variance distortionless response (MVDR) beamforming operation that reduces the noise in the talker environment, followed by a gain operation that, given the far-end noise and beamforming operation, accounts for the noise at the listener end. Our experiments confirm that both processing steps are necessary for the effective conveyance ofa message and, importantly, that the second step must be aware of the first step.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Subtitle of host publicationProceedings
EditorsMin Dong, Thomas Fang Zheng
Place of PublicationDanvers, MA
PublisherIEEE
Pages654-658
Number of pages5
ISBN (Electronic)978-1-4799-9988-0
DOIs
Publication statusPublished - 19 May 2016
Event2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai International Convention Center, Shanghai, China
Duration: 20 Mar 201625 Mar 2016

Conference

Conference2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Abbreviated titleICASSP
CountryChina
CityShanghai
Period20/03/1625/03/16

Bibliographical note

Accepted Author Manuscript

Keywords

  • speech intelligibility enhancement
  • mutal information
  • signal to noise ratio
  • roduction
  • multi-microphone
  • speech enhancement
  • minimum variance distortionless response (MVDR)
  • beamformer

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