Variable Selection Linear Regression for Robust Speech Recognition.
Yu TsaoTing-yao HuSakriani SaktiSatoshi NakamuraLin-Shan LeePublished in: IEICE Trans. Inf. Syst. (2014)
Keyphrases
- speech recognition
- linear regression
- variable selection
- linear models
- noisy environments
- least squares
- high dimensional
- cross validation
- input variables
- hidden markov models
- language model
- model selection
- automatic speech recognition
- speaker identification
- regression problems
- speech signal
- dimension reduction
- speech synthesis
- ridge regression
- nonlinear regression
- pattern recognition
- speech recognizer
- regression methods
- linear model
- speech recognition systems
- ls svm
- computer vision
- support vector
- feature selection