Iterative Unsupervised GMM Training for Speaker Indexing
The paper addresses a novel algorithm for speaker searching and indexation based on unsupervised GMM training. The proposed method doesn't require a predefined set of generic background models, and the GMM speaker models are trained only from test samples. The constrain of the method is that th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
2007-09-01
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| Series: | Radioengineering |
| Subjects: | |
| Online Access: | http://www.radioeng.cz/fulltexts/2007/07_03_138_144.pdf |