Scale-transform-based features for application in speech recognition

S. Umesh; Leon Cohen; Douglas J. Nelson

doi:10.1117/12.366828

26 October 1999 Scale-transform-based features for application in speech recognition

S. Umesh, Leon Cohen, Douglas J. Nelson

Proceedings Volume 3813, Wavelet Applications in Signal and Image Processing VII; (1999) https://doi.org/10.1117/12.366828
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

We report recognition results using scale-transform based cepstral features in a telephone based digit recognition task. The method is based on the use of scale-transform based features for speaker-independent applications, which are insensitive to linear-frequency scaling effects and therefore reduce inter-speaker variability due to differences in vocal-tract lengths. We have implemented a digit recognition task using the proposed scale-transform based features and have compared the recognition accuracy obtained when compared to using mel-cepstrum based front-end features.

Citation Download Citation

S. Umesh, Leon Cohen, and Douglas J. Nelson "Scale-transform-based features for application in speech recognition", Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); https://doi.org/10.1117/12.366828

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available