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电子学报  2019, Vol. 28 Issue (2): 357-363    DOI: 10.1049/cje.2018.06.005
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Identity Vector Extraction Using Shared Mixture of PLDA for Short-Time Speaker Recognition
WANG Wenchao1,2, XU Ji1,2, YAN Yonghong1,2,3
1. Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Xinjiang Laboratory of Minority Speech and Language Information Processing, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumchi 830011, China
Identity Vector Extraction Using Shared Mixture of PLDA for Short-Time Speaker Recognition
WANG Wenchao1,2, XU Ji1,2, YAN Yonghong1,2,3
1. Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Xinjiang Laboratory of Minority Speech and Language Information Processing, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumchi 830011, China

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