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刑事司法科学与治理
Criminal Justice Science & Governance
ISSN Print:2708-700X
ISSN Online:2708-7018
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语音伪造技术对声纹司法鉴定的挑战
Challenges of DeepFake Voice to Voice Forensic Identification
- 作者： 白雪桐 王秋云
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单位：
甘肃政法大学，兰州
- 关键词： 深度学习；语音伪造；声纹鉴定
- Deep learning; Deep fake Voice; Voice forensic identification
- 摘要： 深度学习是人工智能技术的重要分支，被广泛应用于语音、视频图像处理以及无人驾驶等领域。技术的“双刃剑”属性，让深度学习技术在快速发展的同时也引起人们对其风险隐患的担忧。本文介绍了基于深度学习的语音伪造技术、声纹鉴定技术发展现状，并探讨声纹司法鉴定在人工智能时代的发展路径。
- Deep learning is an important branch of artificial intelligence technology, which is widely used in the fields of voice, video and image processing and unmanned driving. The “double-edged sword” attribute of technology makes deep learning technology develop rapidly, but also causes people to worry about its risks and hidden dangers. This paper introduces the development status of voice forgery technology and voice print identification technology based on deep learning, and discusses the development path of voice print forensic identification in the era of deep learning.
- DOI： https://doi.org/10.35534/cjsg.0202012
- 引用： 白雪桐，王秋云．语音伪造技术对声纹司法鉴定的挑战［J］．刑事司法科学与治理，2021，2（2）：86-92．
