Use of periodicity and jitter for automatic speech recognition

Details Use of periodicity and jitter for automatic speech recognition Use of periodicity and jitter for automatic speech recognition

1998-05-01

2000-04-25

Dorvil, Richemond

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704207, G10L 1502

Patent

active

060554991

ABSTRACT:
A class of features related to voicing parameters that indicate whether the vocal chords are vibrating. Features describing voicing characteristics of speech signals are integrated with an existing 38-dimensional feature vector consisting of first and second order time derivatives of the frame energy and of the cepstral coefficients with their first and second derivatives. Hidden Markov Model (HMM)-based connected digit recognition experiments comparing the traditional and extended feature sets show that voicing features and spectral information are complementary and that improved speech recognition performance is obtained by combining the two sources of information.

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