A prosody-based approach to end-of-utterance detection that does not require speech recognition


In previous work we showed that state-of-the-art end-of-utterance detection (as used, for example, in dialog systems) can be improved significantly by making use of prosodic and/or language models that predict utterance endpoints, based on word and alignment output from a speech recognizer. However, using a recognizer in endpointing might not be practical… (More)
DOI: 10.1109/ICASSP.2003.1198854

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