A hybrid speech recognition system using HMMs with an LVQ-trained codebook
- 4 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Maximum mutual information estimation of hidden Markov model parameters for speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Speaker-independent word recognition using dynamic programming neural networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Phonetically sensitive discriminants for improved speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Consonant recognition by modular construction of large phonemic time-delay neural networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Large vocabulary natural language continuous speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Shift-invariant, multi-category phoneme recognition using Kohonen's LVQ2Published by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Large-vocabulary speaker-independent continuous speech recognition using HMMPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Links between Markov models and multilayer perceptronsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990
- Phoneme recognition using time-delay neural networksIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Statistical pattern recognition with neural networks: benchmarking studiesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1988