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: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2016
|
Online Access: | http://ndltd.ncl.edu.tw/handle/70447897972759145747 |