Hidden Markov model representation of quantized articulatory features for speech recognition

This paper describes a speech recognizer based on an HMM representation of quantized articulatory features and presents experimental results for its evaluation. Traditional schemes for HMM representation of speech have attempted to model a set of disjoint time segments. In order to create a more rob...

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Veröffentlicht in:	Computer speech & language 1993-07, Vol.7 (3), p.265-282
Hauptverfasser:	Erler, Kevin, Deng, Li
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Speech and sound recognition and synthesis. Linguistics
Online-Zugang:	Volltext
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