19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007) Comparative Evaluation of Speech Parameterizations for Speech Recognition Paris, France October 29-October 31 ISBN: 0-7695-3015-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.29
In this work, we present comparative evaluation of the practical value of some recently proposed speech parameterizations on the speech recognition task. Specifically, in a common experimental setup we evaluate recent discrete wavelet-packet transform (DWPT)-based speech features against traditional techniques, such as the Mel-frequency cepstral coefficients (MFCC) and perceptual linear predictive (PLP) cepstral coefficients that presently dominate the speech recognition field. The relative ranking of eleven sets of speech features is presented.
Citation:
Iosif Mporas, Todor Ganchev, Mihalis Siafarikas, Theodoros Kostoulas, "Comparative Evaluation of Speech Parameterizations for Speech Recognition," ictai, vol. 2, pp.510-513, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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