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Showing 1 to 5 of 5 for “"Pronunciation modeling"”.
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Pronunciation modeling for large vocabulary speech recognition
The large pronunciation variability of words in conversational speech is one of the major causes of low accuracy in automatic speech recognition (ASR). Many pronunciation modeling approaches have been developed to address this problem. Some explicitly manipulate the pronunciation dictionary as well …
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FSM-Based Pronunciation Modeling using Articulatory Phonological Code
… using a GPV sequence. In this work, we propose a pronunciation modeling method that uses a finite state machine (FSM) to represent the invariance of a gestural score. Given the ""canonical"" gestural score of a word with a known activation timing scheme, the plausible activation onsets and offsets …
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Feature-based pronunciation modeling for automatic speech recognition
… is characterized by great variability in word pronunciation, including many variants that differ grossly from dictionary prototypes. This is one factor in the poor performance of automatic speech recognizers on conversational speech. One approach to handling this variation consists of expanding …
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Prosody Dependent Speech Recognition on American Radio News Speech
… measure the effects of prosody on the language modeling and on the pronunciation modeling, and propose a factored approach, which leverages the strong dependence of prosody over syntax, to improve the robustness of the N-gram language modeling. We also develop an automatic prosody labeling …
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Automatic Dialect and Accent Recognition and its Application to Speech Recognition
… science and technology is understanding and modeling individual variation in spoken language. Individuals have their own speaking styles, depending on many factors, such as their dialect and accent as well as their socioeconomic background. These individual differences typically introduce …