Speech-recognizer-based filter optimization for microphone array processing

Author

Seltzer, Michael L. ; Raj, Bhiksha

Author_Institution

Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA

Volume

10

Issue

3

fYear

2003

fDate

3/1/2003 12:00:00 AM

Firstpage

69

Lastpage

71

Abstract

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

acoustic signal processing; acoustic transducer arrays; array signal processing; calibration; filtering theory; hidden Markov models; microphones; optimisation; speech processing; speech recognition; HMM; filter parameters; filter-and-sum array processing algorithm; hidden Markov model; microphone array processing; microphone array processing calibration algorithm; optimization criteria; output waveform; recognition accuracy; recognizer likelihoods maximization; speech recognizer based filter optimization; Array signal processing; Calibration; Delay; Digital filters; Finite impulse response filter; Hidden Markov models; Microphones; Signal processing; Signal processing algorithms; Speech recognition;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2002.807877

Filename

1182087