40 citations · 128 across the 28 of their papers we have counts for
4 papers · 1 filter
SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detection
Jiangyan Yi, Chenglong Wang, Jianhua Tao +5
Many datasets have been designed to further the development of fake audio detection. However, fake utterances in previous datasets are mostly generated by altering timbre, prosody,…
Fully Automated End-to-End Fake Audio Detection
Chenglong Wang, Jiangyan Yi, Jianhua Tao +6
The existing fake audio detection systems often rely on expert experience to design the acoustic features or manually design the hyperparameters of the network structure. However,…
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features
Jun Xue, Cunhang Fan, Zhao Lv +6
Recently, pioneer research works have proposed a large number of acoustic features (log power spectrogram, linear frequency cepstral coefficients, constant Q cepstral coefficients,…
ADD 2022: the First Audio Deep Synthesis Detection Challenge
Jiangyan Yi, Ruibo Fu, Jianhua Tao +17
Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021. However, the recent shared tasks have not covered many real-life and challenging scenarios.…