Extended maximum a posterior linear regression (EMAPLR) model adaptation for speech recognition.
Wu ChouOlivier SiohanTor André MyrvollChin-Hui LeePublished in: INTERSPEECH (2000)
Keyphrases
- speech recognition
- linear regression
- maximum a posterior
- least squares
- hidden markov models
- automatic speech recognition
- speech processing
- noisy environments
- pattern recognition
- speech recognizer
- speech synthesis
- speech signal
- language model
- speech recognition technology
- map estimation
- nonlinear regression
- speech recognition systems
- speaker identification
- speaker dependent
- signal processing
- markov random field
- computer vision
- speaker independent