Speech-recognizer-based filter optimization for microphone array processing

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.