Suppression of Late Reverberation Effect on Speech Signal Using Long-Term Multiple-step Linear Prediction

A speech signal captured by a distant microphone is generally smeared by reverberation, which severely degrades automatic speech recognition (ASR) performance. One way to solve this problem is to dereverberate the observed signal prior to ASR. In this paper, a room impulse response is assumed to con...

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Bibliographic Details
Published in:IEEE transactions on audio, speech, and language processing speech, and language processing, 2009-05, Vol.17 (4), p.534-545
Main Authors: Kinoshita, K., Delcroix, M., Nakatani, T., Miyoshi, M.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Automatic speech recognition
Automatic speech recognition (ASR)
Dealing
Degradation
dereverberation
Exact sciences and technology
Filtering
Impulse response
Information, signal and communications theory
Laboratories
Linear prediction
Microphones
multi-step linear prediction (MSLP)
Nonlinear filters
Performance degradation
Recording
Reflection
Reverberation
Signal processing
Speech
Speech processing
Speech recognition
Studies
Telecommunications and information theory
Training data
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Summary:A speech signal captured by a distant microphone is generally smeared by reverberation, which severely degrades automatic speech recognition (ASR) performance. One way to solve this problem is to dereverberate the observed signal prior to ASR. In this paper, a room impulse response is assumed to consist of three parts: a direct-path response, early reflections and late reverberations. Since late reverberations are known to be a major cause of ASR performance degradation, this paper focuses on dealing with the effect of late reverberations. The proposed method first estimates the late reverberations using long-term multi-step linear prediction, and then reduces the late reverberation effect by employing spectral subtraction. The algorithm provided good dereverberation with training data corresponding to the duration of one speech utterance, in our case, less than 6 s. This paper describes the proposed framework for both single-channel and multichannel scenarios. Experimental results showed substantial improvements in ASR performance with real recordings under severe reverberant conditions.
ISSN:1558-7916
2329-9290
1558-7924
2329-9304
DOI:10.1109/TASL.2008.2009015