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26 October 1999 Scale-transform-based features for application in speech recognition
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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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
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