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Reverberation reduction for improved speech recognition

Ivan Tashev and Daniel Allred


In this paper we present a dereverberation algorithm for improving automatic speech recognition (ASR) results with minimal CPU overhead. As the reverberation tail hurts ASR the most, late reverberation is reduced via gain-based spectral subtraction. We use a multi-band decay model with an efficient method to update it in realtime. In reverberant environments the multi-channel version of the proposed algorithm reduces word error rates (WER) up to one half of the way between those of a microphone array only and a close-talk microphone. The four channel implementation requires less than 2% of the CPU power of a modern computer.


Publication typeInproceedings
Published inProceedings of Hands-Free Communication and Microphone Arrays
AddressPiscataway, USA
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