Modeling word-level rate-of-speech variation in large vocabulary conversational speech recognition
نویسندگان
چکیده
Variations in rate of speech (ROS) produce variations in both spectral features and word pronunciations that affect automatic speech recognition systems. To deal with these ROS effects, we propose to use a set of parallel rate-specific acoustic and pronunciation models. Rate switching is permitted at word boundaries, to allow within-sentence speech rate variation, which is common in conversational speech. Because of the parallel structure of rate-specific models and the maximum likelihood decoding method, our approach does not
منابع مشابه
Rate-of-speech Modeling for Large Vocabulary Conversational Speech Recognition
Variations in rate of speech (ROS) produce changes in both spectral features and word pronunciations that affect automatic speech recognition (ASR) systems. To deal with these ROS effects, we propose to use parallel, rate-specific, acoustic models: one for fast speech, the other for slow speech. Rate switching is permitted at word boundaries, to allow modeling within-sentence speech rate variat...
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Variations in rate of speech (ROS) produce changes in both spectral features and word pronunciations that affect automatic speech recognition (ASR) systems. To deal with these ROS effects, we propose to use parallel, rate-specific, acoustic models: one for fast speech, the other for slow speech. Rate switching is permitted at word boundaries, to allow modeling within-sentence speech rate variat...
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عنوان ژورنال:
- Speech Communication
دوره 41 شماره
صفحات -
تاریخ انتشار 2003