A study on temporal features derived by analytic signal

Abstract

Traditional feature extraction methods for automatic speech recognition (ASR), such as MFCC (Mel-frequency cepstral coefficients) and PLP (perceptual linear prediction) [6], are extracted from short-term spectral envelopes and can be used to realize promising ASR systems. On the other hand, features extracted by TRAPs-like classifiers [2] are based on long… (More)

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Cite this paper

@inproceedings{Kubo2007ASO, title={A study on temporal features derived by analytic signal}, author={Yotaro Kubo and Shigeki Okawa and Akira Kurematsu and Katsuhiko Shirai}, booktitle={INTERSPEECH}, year={2007} }