Maximum a posteriori linear regression for speaker recognition.
Xiang ZhangHaipeng WangXiang XiaoJianping ZhangYonghong YanPublished in: ICASSP (2010)
Keyphrases
- linear regression
- speaker recognition
- maximum a posteriori
- gaussian mixture model
- map estimation
- maximum likelihood
- markov random field
- em algorithm
- least squares
- expectation maximization
- image reconstruction
- speaker verification
- vector quantization
- bayesian framework
- speaker identification
- hyperparameters
- probabilistic neural network
- regression methods
- mixture model
- energy function
- speech recognition
- multiscale
- machine learning
- generative model
- graph cuts
- support vector machine
- feature vectors
- similarity measure
- feature extraction
- image segmentation