Intonation and dialog context as constraints for speech recognition.

@article{Taylor1998IntonationAD,
  title={Intonation and dialog context as constraints for speech recognition.},
  author={Paul Taylor and Simon King and Stephen Isard and Helen Wright},
  journal={Language and speech},
  year={1998},
  volume={41 ( Pt 3-4)},
  pages={493-512}
}
This paper describes a way of using intonation and dialog context to improve the performance of an automatic speech recognition (ASR) system. Our experiments were run on the DCIEM Maptask corpus, a corpus of spontaneous task-oriented dialog speech. This corpus has been tagged according to a dialog analysis scheme that assigns each utterance to one of 12 "move types," such as "acknowledge," "query-yes/no" or "instruct." Most ASR systems use a bigram language model to constrain the possible… CONTINUE READING

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