| Autor: |
Friha, S., Mansouri, N. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 6/12/2008, Vol. 1019 Issue 1, p450-453, 4p, 4 Charts, 2 Graphs |
| Abstrakt: |
This paper reports on some recent results in speech recognition using the state of the art GMMs modeling. This is done over a reconstructed multidimensional attractor that is obtained via an embedding procedure into a phase space. The novelty is being the use of very short time series of 20 ms of speech for both the training data base and the test samples. Classification accuracies reached 75.99% when four phoneme classes are concerned and 100% when there are only two phoneme classes. Experiments over two monosyllabic words gave an accuracy of 89.55%. Application of GMMs to speaker recognition, without using the traditional MFCC parameters was performed too and has resulted in an accuracy of 68.51%. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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