Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia / / Jianhua Tao [and nine others]
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| Autore: |
Tao Jianhua
|
| Titolo: |
Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia / / Jianhua Tao [and nine others]
|
| Pubblicazione: | New York : , : Association for Computing Machinery, , 2022 |
| Descrizione fisica: | 1 online resource (101 pages) |
| Disciplina: | 621.3822 |
| Soggetto topico: | Signal processing |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910623979103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |