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Audio Deepfake Detection

Nowadays, deepfake is now generically used by the media or people to refer to any audio or video in which important attributes have been either digitally altered or swapped, with the help of artificial intelligence (AI). Audio deepfake detection is a task that aims to distinguish genuine utterances from fake ones via machine learning techniques.

Papers

Showing 6170 of 74 papers

TitleStatusHype
Audios Don't Lie: Multi-Frequency Channel Attention Mechanism for Audio Deepfake Detection0
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection0
Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios0
Spoofing-Robust Speaker Verification Based on Time-Domain Embedding0
Exploring Green AI for Audio Deepfake DetectionCode0
Few-Shot Speech Deepfake Detection Adaptation with Gaussian ProcessesCode0
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake DetectionCode0
WavLM model ensemble for audio deepfake detectionCode0
Measuring the Robustness of Audio Deepfake DetectorsCode0
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set ConditionCode0
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