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洪青阳 ( 教授 ) 赞
的个人主页 https://faculty.xmu.edu.cn/qyhong/zh_CN/index.htm
教授

论文成果当前位置：中文主页 >> 科学研究 >> 论文成果

[51] 洪青阳.MULTI-FEATURE LEARNING WITH CANONICAL CORRELATION ANALYSIS CONSTRAINT FOR TEXT-INDEPENDENT SPEAKER VERIFICATION.2021 IEEE Spoken Language Technology Workshop, SLT 2021 - Proceedings,2021,330-337.
[52] 李琳,洪青阳.Deep joint learning for language recognition.Neural Networks,2020,14172-86.
[53] 洪青阳.AP20-OLR Challenge: Three Tasks and Their Baselines.2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings,2020,550-555.
[54] 洪青阳.XMU-TS Systems for NIST SRE19 CTS Challenge.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2019,2020-May7569-7573.
[55] 洪青阳.Phone-aware multi-task learning and length expanding for short-duration language recognition.2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019,2018,433-437.
[56] 洪青阳.Speaker embedding extraction with multi-feature integration structure.2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019,2018,450-454.
[57] 洪青阳.Extraction of noise-robust speaker embedding based on generative adversarial networks.2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019,2018,1641-1645.
[58] 洪青阳.Deep speaker embedding extraction with channel-wise feature responses and additive supervision softmax loss function.Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,2019-September2883-2887.
[59] 洪青阳.Anti-spoofing speaker verification system with multi-feature integration and multi-task learning.Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,2019-September1048-1052.
[60] 洪青阳.Training Multi-task Adversarial Network for Extracting Noise-robust Speaker Embedding.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2018,2019-May6196-6200.

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