Analysis of Spectro-Temporal Modulation Representation for Deep-Fake Speech Detection
Author:
Affiliation:
1. Japan Advanced Institute of Science and Technology,Ishikawa,Japan,923-1292
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317309.pdf?arnumber=10317309
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1. Toward Robust Audio Spoofing Detection: A Detailed Comparison of Traditional and Learned Features
2. Add 2023: the second audio deepfake detection challenge;yi,2023
3. The vicomtech audio deepfake detection system based on wav2vec2 for the 2022 add challenge;martín-doñas;Proc IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP 2022),0
4. ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
5. Deep Residual Neural Networks for Audio Spoofing Detection
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