Deep Adversarial Learning for Speaker Recognition
碩士 === 國立交通大學 === 電機工程學系 === 106 === In recent years, i-vector representation of speaker utterances has been successfully developed for speaker recognition. This representation provides a way to map an arbitrary duration of speaker utterances into a fixed-length and low-dimensional vector that prese...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/48mbwu |