Speaker identification using distributed vector quantization and Gaussian mixture models
Speaker identification is the computing task of recognizing people's identity based on their voices. There are two main difficulties in this field. First is how to maintain the accuracy rate under large amount of training data. Second is how to reduce the processing time. Previous studies repor...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2010
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| Online Access: | http://eprints.utm.my/id/eprint/11585/6/LohMunYeeMFSKSM2010.pdf |
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