01720nam 2200337 450 991062397910332120230830152813.0(CKB)5710000000060812(NjHacI)995710000000060812(EXLCZ)99571000000006081220230830d2022 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierProceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia /Jianhua Tao [and nine others]New York :Association for Computing Machinery,2022.1 online resource (101 pages)1-4503-9496-5 It is our great pleasure to welcome you to the 1st International Workshop on Deepfake Detection for Audio Multimedia - DDAM 2022. Audio deepfake detection is an emerging topic in multimedia fields, which was included in the ASVspoof 2021. In this workshop, we aim to bring together researchers from the fields of audio deepfake detection, audio deep synthesis, audio fake game and adversarial attacks to further discuss recent research and future directions for detecting deepfake and manipulated audios in multimedia. As far as we know, we are the first workshop to focus on deepfake detection of audio multimedia, which is of great significance.Signal processingSignal processing.621.3822Tao Jianhua1063415NjHacINjHaclBOOK9910623979103321Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia3549468UNINA