Factored maximum likelihood kernelized regression for HMM-based singing voice synthesis.
June Sig SungDoo Hwa HongHyun Woo KooNam Soo KimPublished in: INTERSPEECH (2013)
Keyphrases
- maximum likelihood
- hidden markov models
- regression model
- linear regression
- maximum a posteriori
- em algorithm
- parameter estimation
- support vector regression
- hyperparameters
- kernel function
- support vector
- fuzzy clustering
- gaussian distribution
- regression analysis
- regression algorithm
- model selection
- regression problems
- state space
- learning vector quantization
- regression methods
- simple linear
- gaussian processes
- expectation maximization
- program synthesis
- ridge regression
- locally weighted
- reproducing kernel hilbert space
- likelihood function
- gaussian mixture model
- partial least squares
- feature space
- machine learning
- regression function
- neural network