Boundary contraction training for acoustic models based on discrete deep neural networks.
Ryu TakedaNaoyuki KandaNobuo NukagaPublished in: INTERSPEECH (2014)
Keyphrases
- neural network
- acoustic models
- training process
- speech recognition
- hidden markov models
- global exponential stability
- automatic speech recognition
- pattern recognition
- broadcast news
- speech recognizer
- training examples
- discriminative training
- bayesian networks
- training set
- noisy environments
- generative model
- maximum likelihood
- support vector machine
- active learning
- training data
- image processing
- information retrieval