Noise independent speech recognition for a variety of noise types

Author

Treurniet, William C. ; Gong, Yifan

Author_Institution

Communication Res. Centre, Ottawa, Ont., Canada

Volume

i

fYear

1994

fDate

19-22 Apr 1994

Abstract

By a base transformation technique, we previously reported a recognizer which gives a noise-adapted recognition rate of 90% under 10 dB SNR on a vocabulary of 206 words. This rate is 97% of the recognition rate for clean speech. The technique is extended here so that the input noise is first recognized as one of a set reference noises, and the noise reference is used for the base transformation of the noisy utterance. Using 32 reference noise classes, for speech signals corrupted by noises of unknown natures (either Gaussian, bus or aircrafts with SNR randomly from 10 to 40 dB), we obtained a noise-independent recognition rate of about 95.5% of the recognition rate for clean speech

Keywords

Gaussian noise; acoustic noise; speech recognition; Gaussian noise; aircraft; base transformation technique; bus; clean speech; input noise; noise independent speech recognition; noise types; noise-adapted recognition rate; noisy utterance; recognizer; speech signals; vocabulary; Degradation; Gaussian noise; Noise level; Signal to noise ratio; Speech enhancement; Speech recognition; Testing; Vectors; Vocabulary; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389262

Filename

389262