Acoustic-phonetic features for the automatic classification of stop consonants.

In this paper, the acoustic-phonetic characteristics of the American English stop consonants are investigated. Features studied in the literature are evaluated for their information content and new features are proposed. A statistically guided, knowledge-based, acoustic-phonetic system for the autom...

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Библиографические подробности

Опубликовано в::	IEEE Transactions on speech and audio processing 9, 8 (2001).
Главный автор:	Ali, A.M.A
Формат:	Статья
Язык:	English
Предметы:	American English stop consonants. TIMIT database continuous speech. Acoustic-phonetic features. Auditory-based front-end processing. Automatic classification. Dialects. Features extraction. Features manipulation. Hard decision algorithms. Place articulation detection. Recognition experiments. Speaker independent continuous speech. Statistically guided knowledge-based acoustic-phonetic system. Voicing detection.