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An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces
- Source :
- University of Edinburgh-PURE
- Publication Year :
- 2000
- Publisher :
- ISCA, 2000.
-
Abstract
- We describe a speech recognition system which uses articulatory parameters as basic features and phone-dependent linear dynamic models. The system first estimates articulatory trajectories from the speech signal. Estimations of x and y coordinates of 7 actual articulator positions in the midsagittal plane are produced every 2 milliseconds by a recurrent neural network, trained on real articulatory data. The output of this network is then passed to a set of linear dynamic models, which perform phone recognition
- Subjects :
- ComputingMethodologies_PATTERNRECOGNITION
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 6th International Conference on Spoken Language Processing (ICSLP 2000)
- Accession number :
- edsair.doi.dedup.....82d76ff017b824294eecf19c46997919