Predictor codebooks for speaker-independent speech recognition
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Context-dependent hidden control neutral network architecture for continuous speech recognition
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
A discriminative neural prediction system for speech recognition
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Exploiting prediction error in a predictive-based connectionist speech recognition system
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Speaker-independent speech recognition using nonlinear predictor codebooks
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Predictive connectionist approach to speech recognition
Nonlinear Speech Modeling and Applications
| Hi-index | 0.00 |
The authors present improvements in the neural prediction model. The improvements include the introduction of backward prediction in the pattern predictors and the modification of the prediction error measure with covariance matrices. Using the demisyllable as a subword recognition unit, speaker-dependent large vocabulary recognition experiments were carried out. Results indicate a 97.6% recognition accuracy for a 5000-word test set, and the effectiveness of the proposed model improvements and the demisyllable subword units was confirmed.