Automatic syllabification and phoneme class labelling with a phonologically based hidden Markov model and adaptive acoustical features

In this paper, a method is proposed for segmenting syllables and syllable classes in continuous speech. The implementation involves a combination of phonological knowledge, speaker adaptable features, vector quantization and a hidden Markov modelling technique. Phoneme classes are represented as hid...

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Veröffentlicht in:	Computer speech & language 1990-07, Vol.4 (3), p.247-262
Hauptverfasser:	Prinsloo, G.J., Coetzer, M.W.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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