论文标题
用于检测虚假音频的Vocoder指纹的初步调查
An Initial Investigation for Detecting Vocoder Fingerprints of Fake Audio
论文作者
论文摘要
为了伪造的音频检测，已经进行了许多有效的尝试。但是，他们只能提供检测结果，但没有对抗这种危害的对策。对于许多相关的实际应用，也需要哪种模型或算法生成假音频。因此，我们提出了一个新问题，用于检测虚假音频的Vocoder指纹。实验是在由八个最先进的歌手合成的数据集上进行的。我们已经初步探索了功能和模型架构。 T-SNE可视化表明，不同的Vocoder会生成不同的Vocoder指纹。
Many effective attempts have been made for fake audio detection. However, they can only provide detection results but no countermeasures to curb this harm. For many related practical applications, what model or algorithm generated the fake audio also is needed. Therefore, We propose a new problem for detecting vocoder fingerprints of fake audio. Experiments are conducted on the datasets synthesized by eight state-of-the-art vocoders. We have preliminarily explored the features and model architectures. The t-SNE visualization shows that different vocoders generate distinct vocoder fingerprints.
