MVDR based feature extraction for robust speech recognition

Author

Dharanipragada, Satya ; Rao, Bhaskar D.

Author_Institution

Human Language Technol., IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA

Volume

1

fYear

2001

fDate

2001

Firstpage

309

Abstract

Describes a robust feature extraction method for continuous speech recognition. Central to the method is the minimum variance distortionless response (MVDR) method of spectrum estimation and a feature trajectory smoothing technique for reducing the variance in the feature vectors. The above method, when evaluated on continuous speech recognition tasks in a stationary and moving car, gave an average relative improvement in WER of greater than 30%

Keywords

cepstral analysis; fast Fourier transforms; feature extraction; speech coding; speech recognition; statistical analysis; continuous speech recognition; feature trajectory smoothing technique; minimum variance distortionless response method; robust feature extraction method; robust speech recognition; spectrum estimation; Band pass filters; Cepstral analysis; Feature extraction; Gaussian processes; Humans; Linear predictive coding; Mel frequency cepstral coefficient; Robustness; Spectral analysis; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940829

Filename

940829