Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition

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• Finished

  Natural Speech Technology

  Renals, S. (Principal Investigator) & King, S. (Co-investigator)

  EPSRC

  1/05/11 → 31/07/16

  Project: Research

  • Deep Neural Network 100%
  • Speech Synthesis 97%
  • Speech Recognition 76%
  • Text To Speech 45%
  • Recurrent Neural Network 45%

• SCALE: Speech Communication with Adaptive Learning

  King, S. (Principal Investigator) & Renals, S. (Co-investigator)

  EU government bodies

  1/01/09 → 31/12/12

  Project: Research

  • Synthetic Speech 100%
  • Gaussian Mixture Model 100%
  • Gaussian Component 53%
  • Objective Measure 50%
  • Joints (Structural Components) 50%