Confidence scores for acoustic model adaptation

  title={Confidence scores for acoustic model adaptation},
  author={Christian Gollan and Michiel Bacchiani},
  journal={2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
This paper focuses on confidence scores for use in acoustic model adaptation. Frame-based confidence estimates are used in linear transform (CMLLR and MLLR) and MAP adaptation. We show that adaptation approaches with a limited number of free parameters such as linear transform-based approaches are robust in the face of frame labeling errors whereas adaptation approaches with a large number of free parameters such as MAP are sensitive to the quality of the supervision and hence benefit most from… CONTINUE READING
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