In spoken language systems, the segmentation of utterances into coherent linguistic/semantic units is required when modules following the speech recognizer can only process such units one at a time. In this paper, techniques for semantic boundary prediction, based on both acoustic and lexical knowledge, are presented and tested on a corpus of person-to-person dialogues. Best results gives 62.8% recall and 71.8% precision
Automatic Detection of Semantic Boundaries Based on Acoustic and Lexical Knowledge
Cettolo, Mauro;Falavigna, Giuseppe Daniele
1998-01-01
Abstract
In spoken language systems, the segmentation of utterances into coherent linguistic/semantic units is required when modules following the speech recognizer can only process such units one at a time. In this paper, techniques for semantic boundary prediction, based on both acoustic and lexical knowledge, are presented and tested on a corpus of person-to-person dialogues. Best results gives 62.8% recall and 71.8% precisionFile in questo prodotto:
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