Deep Variational Manifold Learning for Speaker Recognition
碩士 === 國立交通大學 === 電機工程學系 === 105 === Traditionally, speaker recognition system using i-vector as the speaker feature vector and the probabilistic linear discriminant analysis (PLDA) as the scoring function has achieved state-of-the-art performance in many tasks. PLDA is seen as a linear model which...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/70447897972759145747 |