Combining Confidence Scores with Contextual Features for Robust Multi-Device Dialogue

  title={Combining Confidence Scores with Contextual Features for Robust Multi-Device Dialogue},
  author={Lawrence Cavedon and Matthew Purver and Florin Ratiu},
We present an approach to multi-device dialogue that evaluates and selects amongst candidate dialogue moves based on features at multiple levels. Multiple sources of information can be combined, multiple speech recognition and parsing hypotheses tested, and multiple devices and moves considered to choose the highest scoring hypothesis overall. The approach has the added benefit of potentially re-ordering n-best lists of inputs, effectively correcting errors in speech recognition or parsing. A… CONTINUE READING

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Practical plug-and-play dialogue management

  • D. Mirkovic, L. Cavedon.
  • Proceedings of the Annual Meeting of the Pacific…
  • 2005
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