Using More Informative Posterior Probabilities for Speech Recognition.
Hamed KetabdarJithendra VepaSamy BengioHervé BourlardPublished in: ICASSP (1) (2006)
Keyphrases
- speech recognition
- posterior probability
- bayesian framework
- bayesian networks
- generative model
- language model
- hidden markov models
- probabilistic model
- bayes theorem
- speech processing
- probability distribution
- pattern recognition
- conditional probabilities
- speech signal
- speech synthesis
- automatic speech recognition
- speech recognizer
- speech recognition technology
- probability density function
- speaker independent
- noisy environments
- speech recognition systems
- speaker identification
- discriminative training
- speaker dependent
- prior knowledge
- training data
- computer vision
- neural network