Time-frequency distributions for automatic speech recognition.

The use of general time-frequency distributions as features for automatic speech recognition (ASR) is discussed in the context of hidden Markov classifiers. Short-time averages of quadratic operators, e.g., energy spectrum, generalized first spectral moments, and short-time averages of the instantan...

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Detalles Bibliográficos

Publicado en:	IEEE Transactions on speech and audio processing 9, 3 (2001).
Autor Principal:	Potamianos, A.
Formato:	Artigo
Idioma:	English
Subjects:	Automatic speech recognition. Energy spectrum. Feature sets. Front end features. Generalized first spectral moments. Hidden Markov classifiers. Instantaneous frequency. Quadratic operators. Short-time averages. Spectral moments. Time-frequency distributions.