Automatic Speech Labeling Using Word Pronunciation Networks and Hidden Markov Models

B. Angelini, R Brugnara,D. Falavigna,D. Giuliani, R. Gretter,M. Omologo

msra（1995）

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摘要

A system for automatic labeling and segmentation of speech signals starting from their corresponding text will be described2. The system uses continuous Hidden Markov Models (HMM) to represent a predefined set of acoustic-phonetic units and pronunciation networks to allow different phonetic realizations of a given sentence. The system has been applied to an American (TIMIT) and an Italian (APASCI) speech database.

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关键词

Hide Markov Model, Speech Signal, Automatic Segmentation, Continuous Speech, Speech Database

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