Machine learning for spoken dialogue systems

@inproceedings{Lemon2007MachineLF,
  title={Machine learning for spoken dialogue systems},
  author={Oliver Lemon and Olivier Pietquin},
  booktitle={INTERSPEECH},
  year={2007}
}
During the last decade, research in the field of Spoken Dialogue Systems (SDS) has experienced increasing growth. However, the design and optimization of SDS is not only about combining speech and language processing systems such as Automatic Speech Recognition (ASR), parsers, Natural Language Generation (NLG), and Text-to-Speech (TTS) synthesis systems. It also requires the development of dialogue strategies taking at least into account the performances of these subsystems (and others), the… CONTINUE READING
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