Open Access

A Novel Speech/Noise Discrimination Method for Embedded ASR System

EURASIP Journal on Advances in Signal Processing20042004:951918

https://doi.org/10.1155/S111086570440225X

Received: 30 October 2003

Published: 18 September 2004

Abstract

The problem of speech/noise discrimination has become increasingly important as the automatic speech recognition (ASR) system is applied in the real world. Robustness and simplicity are two challenges to the speech/noise discrimination method for an embedded system. The energy-based feature is the most suitable and applicable feature for speech/noise discrimination for embedded ASR system because of effectiveness and simplicity. A new method based on a noise model is proposed to discriminate speech signals from noise signals. The noise model is initialized and then updated according to the signal energy. The experiment shows the effectiveness and robustness of the new method in noisy environments.

Keywords and phrases

noise robustness speech/noise discrimination automatic speech recognition

Authors’ Affiliations

(1)
Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University
(2)
Motorola Labs China Research Center

Copyright

© Wu et al. 2004