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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

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Showing 26–50 of 74 papers

TitleStatusHype
XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack DetectionCode1
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake DetectionCode0
Few-Shot Speech Deepfake Detection Adaptation with Gaussian ProcessesCode0
Measuring the Robustness of Audio Deepfake DetectorsCode0
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set ConditionCode0
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake DetectionCode0
Exploring Green AI for Audio Deepfake DetectionCode0
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo ConversionCode0
Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio DeepfakeCode0
WavLM model ensemble for audio deepfake detectionCode0
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?Code0
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection—0
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution—0
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge—0
Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models—0
TranssionADD: A multi-frame reinforcement based sequence tagging model for audio deepfake detection—0
Replay Attacks Against Audio Deepfake Detection—0
Representation Loss Minimization with Randomized Selection Strategy for Efficient Environmental Fake Audio Detection—0
Retrieval-Augmented Audio Deepfake Detection—0
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild—0
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection—0
What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain—0
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features—0
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations—0
A Preliminary Exploration with GPT-4o Voice Mode—0
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