Speech-recognizer-based filter optimization for microphone array processing

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 re...

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Veröffentlicht in:IEEE signal processing letters 2003-03, Vol.10 (3), p.69-71
Hauptverfasser: Seltzer, M.L., Raj, B.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Array signal processing
Arrays
Calibration
Delay
Digital filters
Finite impulse response filter
Hidden Markov models
Microphones
Optimization
Recognition
Signal processing
Signal processing algorithms
Speech recognition
Waveforms
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Zusammenfassung: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.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2002.807877