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سند علمی

Particle Filtering Approach to Bayesian Formant Tracking

Yanli Zheng, Mark Hasegawa-Johnson

چکیده

In many phonological systems, sounds are classified by the action of articulators [1, 2, 3]. A reliable detection of formants and front cavity resonances over time should be capable of recognizing most of the linguistic information carried by the tongue and lips, including consonant place and vowel quality. But few speech recognizers use formant information because gross formant tracking mistakes (typically 3-5% of all voiced frames) invariably cause mistakes in phoneme recognition [4].

اسناد مشابه

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