Modeling Time Series Signal Patterns by Statistical Distribution of Prediction Errors and its Application to Speaker Identification
A new method that uses statistical distribution of prediction error vectors to build models of time series patterns has been developed. A universal predictor is firstly established from universal training data. Then, properties common to all the patterns are removed from the training data by the pre...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
International Institute of Informatics and Cybernetics
2003-08-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
| Subjects: | |
| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/002707.pdf
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