Alleviating the over-smoothing problem in GMM-based voice conversion with discriminative training.
Hsin-Te HwangYu TsaoHsin-Min WangYih-Ru WangSin-Horng ChenPublished in: INTERSPEECH (2013)
Keyphrases
- discriminative training
- voice activity detection
- gaussian mixture model
- maximum likelihood
- hidden markov models
- probabilistic interpretation
- automatic speech recognition
- posterior probability
- speech recognition
- em algorithm
- mixture model
- support vector machine
- expectation maximization
- gaussian mixture
- generative model
- co training
- speaker identification
- feature vectors
- machine learning
- pattern recognition
- decision trees