Automatic punctuation and disfluency detection in multi-party meetings using prosodic and lexical cues

@inproceedings{Baron2002AutomaticPA,
  title={Automatic punctuation and disfluency detection in multi-party meetings using prosodic and lexical cues},
  author={Don Baron and Elizabeth Shriberg and Andreas Stolcke},
  booktitle={INTERSPEECH},
  year={2002}
}
We investigate automatic approaches to finding “hidden” spontaneous speech events, such as sentence boundaries and disfluencies, in multi-party meetings. Hidden events are characterized prosodically by a large array of automatically extracted energy, duration, and pitch features, and are modeled by decision tree classifiers; lexical cues are modeled by N-gram language models. Both sources of information are combined in a hidden Markov model framework. Results show that combined classifiers… CONTINUE READING
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