Journal of Signal Processing
Online ISSN : 1880-1013
Print ISSN : 1342-6230
ISSN-L : 1342-6230
Speech Recognition Using Multiple Wearable Microphones for Multiparty Conversations
Shengke LinTakashi TsunakawaMasafumi NishidaMasafumi Nishimura
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2020 Volume 24 Issue 1 Pages 19-29


In this paper, we propose a method to improve a recognition performance of multiparty conversations by using both close-talk and throat microphones. Throat microphone is robust against external noise. However, its characteristics are much different from those of conventional acoustic microphone such as close-talk. Therefore, it is generally not suitable for a speech recognition because of acoustic mismatch between them. We tried to map a spectra of throat microphone to close-talk and estimate a clean speech by controlling weights of speech of each microphone. The proposed method was able to improve a performance of large vocabulary continuous speech recognition task for data on which utterance was superimposed manually and group discussion.

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© 2020 Research Institute of Signal Processing, Japan
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