Segmental conditional random fields with deep neural networks as acoustic models for first-pass word recognition.
Yanzhang HeEric Fosler-LussierPublished in: INTERSPEECH (2015)
Keyphrases
- conditional random fields
- word recognition
- hidden markov models
- acoustic models
- automatic speech recognition
- neural network
- speech recognition
- broadcast news
- pattern recognition
- probabilistic model
- noisy environments
- discriminative training
- character recognition
- word segmentation
- higher order
- graphical models
- document analysis
- generative model
- speech signal
- named entity recognition
- machine learning
- information extraction
- pairwise
- multiscale
- markov random field
- co occurrence
- information retrieval