Robust recognition of noisy speech using speech enhancement

Author

Yifang, Xu ; Jinjie, Zhang ; Kaisheng, Yao ; Zhigang, Cao ; Zhengxin, Ma

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

Volume

2

fYear

2000

fDate

2000

Firstpage

734

Abstract

In this paper, a robust speech recognition system in the presence of additive background noise is studied. We adopt speech enhancement as the front-end processing module to improve the signal-to-noise ratio (SNR) of the input noisy speech for recognition in the latter stage. Three different speech enhancement algorithms were tested on six types of additive noises. Experimental results show that the cascading of the speech enhancer and a hidden Markov model (HMM) based speech recognizer can significantly improve recognition accuracy in noisy environments

Keywords

acoustic noise; hidden Markov models; speech enhancement; speech recognition; SNR; additive background noise; cascading; front-end processing module; hidden Markov model; noisy speech; robust recognition; signal-to-noise ratio; speech enhancement; speech recognizer; Additive noise; Background noise; Hidden Markov models; Noise robustness; Signal to noise ratio; Speech enhancement; Speech processing; Speech recognition; Testing; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-5747-7

Type

conf

DOI

10.1109/ICOSP.2000.891616

Filename

891616