Application of self-organizing maps and LVQ in training continuous density hidden Markov models for phonemes.
Mikko KurimoKari TorkkolaPublished in: ICSLP (1992)
Keyphrases
- hidden markov models
- self organizing maps
- speech recognition
- learning vector quantization
- discriminative training
- speech signal
- markov models
- baum welch
- sequence classification
- unsupervised learning
- automatic speech recognition
- conditional random fields
- neural network
- phoneme recognition
- sequential data
- language model
- hidden state
- neural gas
- semi supervised
- markov model
- viterbi algorithm
- input data
- supervised learning
- hidden states
- minimum classification error
- continuous hidden markov models