Maximum likelihood linear transformations for HMM-based speech recognition

  title={Maximum likelihood linear transformations for HMM-based speech recognition},
  author={Mark J. F. Gales},
  journal={Computer Speech & Language},
This paper examines the application of linear transformations for speaker and environmental adaptation in an HMM-based speech recognition system. In particular, transformations that are trained in a maximum likelihood sense on adaptation data are investigated. Other than in the form of a simple bias, strict linear feature-space transformations are inappropriate in this case. Hence, only model-based linear transforms are considered. The paper compares the two possible forms of model-based… CONTINUE READING
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