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Speech-recognizer-based filter optimization for microphone array processing

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2 Author(s)
Seltzer, M.L. ; Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA ; Raj, B.

Conventional microphone array processing schemes used for speech recognition enhance the output waveform using optimization criteria that are independent of the recognition system. We present a new filter-and-sum array processing algorithm in which the filter parameters are calibrated to maximize recognizer likelihoods. The proposed method provides significant improvement in recognition accuracy over conventional methods.

Published in:

Signal Processing Letters, IEEE  (Volume:10 ,  Issue: 3 )

Date of Publication:

March 2003

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