Frequency-mix Knowledge Distillation for Fake Speech Detection

Frequency-mix Knowledge Distillation for Fake Speech Detection

14 June 2024

Jiangyan Yi

Zhao Lv

Papers citing "Frequency-mix Knowledge Distillation for Fake Speech Detection"

6 / 6 papers shown

Title
ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild Xuechen Liu Xin Wang Md. Sahidullah J. Patino Héctor Delgado ... Massimiliano Todisco Junichi Yamagishi Nicholas W. D. Evans A. Nautsch Kong Aik Lee 29 173 0 05 Oct 2022
RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing Hemlata Tak Madhu R. Kamble J. Patino Massimiliano Todisco Nicholas W. D. Evans 60 102 0 08 Nov 2021
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks Jee-weon Jung Hee-Soo Heo Hemlata Tak Hye-jin Shim Joon Son Chung Bong-Jin Lee Ha-Jin Yu Nicholas W. D. Evans 145 280 0 04 Oct 2021
SpecMix : A Mixed Sample Data Augmentation method for Training withTime-Frequency Domain Features Gwantae Kim D. Han Hanseok Ko 44 42 0 06 Aug 2021
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition Linghui Meng Jin Xu Xu Tan Jindong Wang Tao Qin Bo Xu VLM 64 77 0 25 Feb 2021
ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech A. Nautsch Xin Wang Nicholas W. D. Evans Tomi Kinnunen Ville Vestman Massimiliano Todisco Héctor Delgado Md. Sahidullah Junichi Yamagishi Kong Aik Lee 116 144 0 11 Feb 2021