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Speech-recognizer-based filter optimization for microphone array processing
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DOI：10.1109/LSP.2002.807877.png)
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Abstract
En 中文
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.
Keywords:
beamforming
microphone array processing
robust speech recognition
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