A comparative study on maximum entropy and discriminative training for acoustic modeling in automatic speech recognition.
Wolfgang MachereyHermann NeyPublished in: INTERSPEECH (2003)
Keyphrases
- automatic speech recognition
- maximum entropy
- discriminative training
- speech recognition
- acoustic features
- acoustic models
- speech sounds
- hidden markov models
- maximum entropy principle
- speech signal
- broadcast news
- conditional random fields
- speaker independent
- maximum likelihood
- speech retrieval
- language model
- natural language processing
- support vector machine
- training data