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1 . Academic Journal
CFAD: A Chinese dataset for fake audio detection
저자
by
Ma, Haoxin
;
Yi, Jiangyan
;
Wang, Chenglong
;
Yan, Xinrui
;
Tao, Jianhua
, et al.
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Speech Communication
October 2024 164
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7 . Academic Journal
M[formula omitted]ixKG: Mixing for harder negative samples in knowledge graph
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Che, Feihu
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Tao, Jianhua
.
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Neural Networks
September 2024 177
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4 . Academic Journal
SceneFake: An initial dataset and benchmarks for scene fake audio detection
저자
by
Yi, Jiangyan
;
Wang, Chenglong
;
Tao, Jianhua
;
Zhang, Chu Yuan
;
Fan, Cunhang
, et al.
소스
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Pattern Recognition
August 2024 152
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7 . Academic Journal
HiCMAE: Hierarchical Contrastive Masked Autoencoder for self-supervised Audio-Visual Emotion Recognition
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by
Sun, Licai
;
Lian, Zheng
;
Liu, Bin
;
Tao, Jianhua
.
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Information Fusion
August 2024 108
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6 . Academic Journal
GPT-4V with emotion: A zero-shot benchmark for Generalized Emotion Recognition
저자
by
Lian, Zheng
;
Sun, Licai
;
Sun, Haiyang
;
Chen, Kang
;
Wen, Zhuofan
, et al.
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Information Fusion
August 2024 108
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7 . Academic Journal
Zero-shot voice conversion based on feature disentanglement
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by
Guo, Na
;
Wei, Jianguo
;
Li, Yongwei
;
Lu, Wenhuan
;
Tao, Jianhua
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Speech Communication
November 2024 165
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7 . Academic Journal
DGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection
저자
by
Fan, Cunhang
;
Zhang, Hongyu
;
Huang, Wei
;
Xue, Jun
;
Tao, Jianhua
, et al.
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Neural Networks
November 2024 179
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7 . Academic Journal
Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection
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Fan, Cunhang
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Xue, Jun
;
Tao, Jianhua
;
Yi, Jiangyan
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Wang, Chenglong
, et al.
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Neural Networks
July 2024 175
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7 . Academic Journal
Bayesian hypernetwork collaborates with time-difference evolutional network for temporal knowledge prediction
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Shao, Pengpeng
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Wen, Yang
;
Tao, Jianhua
.
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Neural Networks
July 2024 175
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5 . Academic Journal
Emotion selectable end-to-end text-based speech editing
저자
by
Wang, Tao
;
Yi, Jiangyan
;
Fu, Ruibo
;
Tao, Jianhua
;
Wen, Zhengqi
, et al.
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Artificial Intelligence
April 2024 329
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