Speaker adaptation based on transfer vector field smoothing using maximum a posteriori probability estimation.
Masahiro TonomuraTetsuo KosakaShoichi MatsunagaPublished in: ICASSP (1995)
Keyphrases
- vector field
- probability estimation
- maximum a posteriori
- speaker adaptation
- maximum likelihood
- map estimation
- markov random field
- decision trees
- speech recognition
- image reconstruction
- bayesian framework
- hyperparameters
- multi class classification
- expectation maximization
- em algorithm
- optical flow
- naive bayes
- energy function
- roc curve
- automatic speech recognition
- classification trees
- transfer learning
- edge preserving
- information retrieval
- gaussian mixture model
- machine learning
- mixture model
- graph cuts
- k means
- support vector
- image sequences