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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE Transactions on speech and audio processing 9, 3 (2001).
1. Verfasser:	Potamianos, A.
Format:	Artikel
Sprache:	English
Schlagworte:	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.