Speech Deepfake Attribution: The State of the Art and Prospects
With the rapid evolution of generative artificial intelligence， speech deepfake technologies have achieved unprecedented realism， enabling the synthesis of highly natural and speaker-specific speech from only a few seconds of reference audio. While traditional countermeasures have primarily focused...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
Editorial Office of Journal of Data Acquisition and Processing
2026-03-01
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| Serie: | Shuju Caiji Yu Chuli |
| Soggetti: | |
| Accesso online: | https://sjcj.nuaa.edu.cn/sjcjycl/article/html/202602005 |
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