Subband minimum classification error beamforming for speech recognition in reverberant environments

Yuan Fu Liao*, I. Yun Xu

*Corresponding author for this work

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

1 Scopus citations

Abstract

In this paper, a subband minimum classification error beamforming (S-MCEBEAM), instead of the subband likelihood maximizing beamforming (S-LIMABEAM) proposed by Seltzer, is investigated to closely integrate microphone array and speech recognizer for robust speech recognition in reverberant environments. The main idea behind this is to apply minimum classification error (MCE) criterion to directly match the goal of automatic speech recognition (ASR) and to simultaneously adjust both beamformer parameters and recognizer's acoustic models. Experimental results on a Mandarin reverberation corpus created from Mandarin spontaneous speech corpus (TCC300) and RWCP's sound scene database show S-MCEBEAM leads to better recognition results than S-LIMABEAM in reverberant environments.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4702-4705
Number of pages4
ISBN (Print)9781424442966
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: 14 Mar 201019 Mar 2010

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Country/TerritoryUnited States
CityDallas, TX
Period14/03/1019/03/10

Keywords

  • Microphone array
  • Speech recognition

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