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  • Channel Selection in the Short-time Modulation Domain for Distant Speech Recognition

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    Tjondronegoro224531-Published.pdf (379.2Kb)
    Author(s)
    Himawan, Ivan
    Motlicek, Petr
    Sridharan, Sridha
    Dean, David
    Tjondronegoro, Dian
    Griffith University Author(s)
    Tjondronegoro, Dian W.
    Year published
    2015
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    Abstract
    Automatic speech recognition from multiple distant microphones poses significant challenges because of noise and reverberations. The quality of speech acquisition may vary between microphones because of movements of speakers and channel distortions. This paper proposes a channel selection approach for selecting reliable channels based on selection criterion operating in the short-term modulation spectrum domain. The proposed approach quantifies the relative strength of speech from each microphone and speech obtained from beamforming modulations. The new technique is compared experimentally in the real reverb conditions in ...
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    Automatic speech recognition from multiple distant microphones poses significant challenges because of noise and reverberations. The quality of speech acquisition may vary between microphones because of movements of speakers and channel distortions. This paper proposes a channel selection approach for selecting reliable channels based on selection criterion operating in the short-term modulation spectrum domain. The proposed approach quantifies the relative strength of speech from each microphone and speech obtained from beamforming modulations. The new technique is compared experimentally in the real reverb conditions in terms of perceptual evaluation of speech quality (PESQ) measures and word error rate (WER). Overall improvement in recognition rate is observed using delay-sum and superdirective beamformers compared to the case when the channel is selected randomly using circular microphone arrays.
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    Conference Title
    16th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2015)
    Publisher URI
    https://www.isca-speech.org/archive/interspeech_2015/i15_0741.html
    Copyright Statement
    © 2015 ISCA and the Author(s). The attached file is reproduced here in accordance with the copyright policy of the publisher. For information about this conference please refer to the conference’s website or contact the author(s).
    Subject
    Acoustics and Noise Control (excl. Architectural Acoustics)
    Science & Technology
    Acoustics
    Computer Science, Interdisciplinary Applications
    Publication URI
    http://hdl.handle.net/10072/390264
    Collection
    • Conference outputs

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