An Initial Investigation for Detecting Vocoder Fingerprints of Fake Audio
Xinrui Yan, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Haoxin Ma, Tao Wang, Shiming Wang, Ruibo Fu
Abstract
\beginabstract 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. \endabstract
Topics & Concepts
Computer scienceVisualizationHarmSpeech recognitionAudio analyzerAudio signal processingArtificial intelligenceAudio signalSpeech codingPolitical scienceLawDigital Media Forensic DetectionMusic and Audio ProcessingAdvanced Steganography and Watermarking Techniques