Multi-microphone correlation-based processing for robust speech recognition

  • Authors:

  • Thomas M. Sullivan;Richard M. Stern

  • Affiliations:

  • Department of Electrical and Computer Engineering, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA;Department of Electrical and Computer Engineering, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
  • Year:
  • 1993

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we present a new method of signal processing for robust speech recognition using multiple microphones. The method, loosely based on the human binaural hearing system, consists of passing the speech signals detected by multiple microphones through bandpass filtering and nonlinear rectification operations, and then cross-correlating the outputs from each channel within each frequency band. These operations provide an estimate of the energy contained in the speech signal in each frequency band, and provides rejection of off-axis jamming noise sources. We demonstrate that this method increases recognition accuracy for a multi-channel signal compared to equivalent processing of a monaural signal.