Yi, Jiangyan

ADD 2022: the first Audio Deep Synthesis Detection Challenge

Yi, J., Fu, R., Tao, J., Nie, S., Ma, H., Wang, C., Wang, T., Tian, Z., Bai, Y., Fan, C., et al. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 165

Continuous Multimodal Emotion Prediction Based on Long Short Term Memory Recurrent Neural Network

Huang, J., Li, Y., Tao, J., Lian, Z., Wen, Z., Yang, M., & Yi, J. (2017) · Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 54

Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features

Xue, J., Fan, C., Lv, Z., Tao, J., Yi, J., Zheng, C., Wen, Z., Yuan, M., & Shao, S. (2022) · Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 40

Audio Deepfake Detection: A Survey

Yi, J., Wang, C., Tao, J., Zhang, X., Zhang, C. Y., & Zhao, Y. (2023) · arXiv

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 40

Continual Learning for Fake Audio Detection

Ma, H., Yi, J., Tao, J., Bai, Y., Tian, Z., & Wang, C. (2021) · Interspeech 2021

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 39

RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection

Chen, Y., Yi, J., Xue, J., Wang, C., Zhang, X., Dong, S., Zeng, S., Tao, J., Lv, Z., & Fan, C. (2024) · Interspeech 2024

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 32

What to remember: Self-adaptive continual learning for audio deepfake detection

Zhang, X., Yi, J., Wang, C., Zhang, C. Y., Zeng, S., & Tao, J. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Speech Recognition and SynthesisDomain Adaptation and Few-Shot Learning

Cited by 32

Multi-Scale Permutation Entropy for Audio Deepfake Detection

Wang, C., He, J., Yi, J., Tao, J., Zhang, C. Y., & Zhang, X. (2024) · ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 31

An Initial Investigation for Detecting Vocoder Fingerprints of Fake Audio

Yan, X., Yi, J., Tao, J., Wang, C., Ma, H., Wang, T., Wang, S., & Fu, R. (2022) · Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 30

Spoken Content and Voice Factorization for Few-Shot Speaker Adaptation

Wang, T., Tao, J., Fu, R., Yi, J., Wen, Z., & Zhong, R. (2020) · Interspeech 2020

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 21

ADD 2023: the Second Audio Deepfake Detection Challenge

Yi, J., Tao, J., Fu, R., Yan, X., Wang, C., Wang, T., Zhang, C. Y., Zhang, X., Zhao, Y., Ren, Y., et al. (2023) · arXiv

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 20

Adaptive Fake Audio Detection with Low-Rank Model Squeezing

Zhang, X., Yi, J., Tao, J., Wang, C., Xu, L., & Fu, R. (2023) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 2

Towards Robust Audio Deepfake Detection: A Evolving Benchmark for Continual Learning

Zhang, X., Yi, J., & Tao, J. (2024) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 0