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Audio Deepfake Detection with Self-Supervised XLS-R and SLS Classifier

https://doi.org/10.1145/3664647.3681345
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11042-022-13943-4openalex-snapshot
A deep learning approaches in text-to-speech system: a systematic review and recent research perspective
inferredcites →https://doi.org/10.1016/j.csl.2020.101114openalex-snapshot
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
inferredcites →https://doi.org/10.1109/asru57964.2023openalex-snapshot
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
inferredcites →https://doi.org/10.1109/asru57964.2023.10389671openalex-snapshot
The Singing Voice Conversion Challenge 2023
inferredcites →https://doi.org/10.1109/cvpr.2018.00745openalex-snapshot
Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.1109/icassp39728.2021.9414234openalex-snapshot
End-to-End anti-spoofing with RawNet2
inferredcites →https://doi.org/10.1109/icassp43922.2022openalex-snapshot
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/icassp43922.2022.9746213openalex-snapshot
Rawboost: A Raw Data Boosting and Augmentation Method Applied to Automatic Speaker Verification Anti-Spoofing
inferredcites →https://doi.org/10.1109/icassp43922.2022.9746722openalex-snapshot
FastAudio: A Learnable Audio Front-End For Spoof Speech Detection
inferredcites →https://doi.org/10.1109/icassp43922.2022.9746939openalex-snapshot
ADD 2022: the first Audio Deep Synthesis Detection Challenge
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747605openalex-snapshot
Fake Audio Detection Based On Unsupervised Pretraining Models
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747766openalex-snapshot
AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747768openalex-snapshot
The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge
inferredcites →https://doi.org/10.1109/icassp48485.2024openalex-snapshot
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/icassp48485.2024.10446560openalex-snapshot
A Robust Audio Deepfake Detection System via Multi-View Feature
inferredcites →https://doi.org/10.1109/icassp48485.2024.10447923openalex-snapshot
Audio Deepfake Detection With Self-Supervised Wavlm And Multi-Fusion Attentive Classifier
inferredcites →https://doi.org/10.1109/icassp48485.2024.10448095openalex-snapshot
Multi-Scale Permutation Entropy for Audio Deepfake Detection
inferredcites →https://doi.org/10.1109/iscslp.2010.5684887openalex-snapshot
Speaker verification against synthetic speech
inferredcites →https://doi.org/10.1109/jstsp.2022.3188113openalex-snapshot
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
inferredcites →https://doi.org/10.1109/taslp.2021.3122291openalex-snapshot
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
inferredcites →https://doi.org/10.1109/taslp.2023.3285283openalex-snapshot
ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild
inferredcites →https://doi.org/10.1109/wifs53200.2021openalex-snapshot
2021 IEEE International Workshop on Information Forensics and Security (WIFS)
inferredcites →https://doi.org/10.1109/wifs55849.2022.9975428openalex-snapshot
Deepfake audio detection by speaker verification
inferredcites →https://doi.org/10.1109/wispnet.2017.8299800openalex-snapshot
Spoofing and countermeasures for speaker verification: A review
inferredcites →https://doi.org/10.1109/wispnet43066.2018openalex-snapshot
2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)
inferredcites →https://doi.org/10.21437/asvspoof.2021-8openalex-snapshot
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
inferredcites →https://doi.org/10.21437/interspeech.2018-2289openalex-snapshot
Integrated Presentation Attack Detection and Automatic Speaker Verification: Common Features and Gaussian Back-end Fusion
inferredcites →https://doi.org/10.21437/interspeech.2019-2249openalex-snapshot
ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection
inferredcites →https://doi.org/10.21437/interspeech.2021-847openalex-snapshot
Siamese Network with wav2vec Feature for Spoofing Speech Detection
inferredcites →https://doi.org/10.21437/interspeech.2022-108openalex-snapshot
Does Audio Deepfake Detection Generalize?
inferredcites →https://doi.org/10.21437/interspeech.2022-143openalex-snapshot
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
inferredcites →https://doi.org/10.21437/interspeech.2023-1254openalex-snapshot
Detection of Cross-Dataset Fake Audio Based on Prosodic and Pronunciation Features
inferredcites →https://doi.org/10.21437/odyssey.2016-41openalex-snapshot
A New Feature for Automatic Speaker Verification Anti-Spoofing: Constant Q Cepstral Coefficients
inferredcites →https://doi.org/10.21437/odyssey.2022openalex-snapshot
The Speaker and Language Recognition Workshop (Odyssey 2022)
inferredcites →https://doi.org/10.21437/odyssey.2022-14openalex-snapshot
Investigating Self-Supervised Front Ends for Speech Spoofing Countermeasures
inferredcites →https://doi.org/10.21437/odyssey.2022-16openalex-snapshot
Automatic Speaker Verification Spoofing and Deepfake Detection Using Wav2vec 2.0 and Data Augmentation
inferredcites →https://doi.org/10.48550/arxiv.2109.00535openalex-snapshot
ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan
inferredcites →https://doi.org/10.48550/arxiv.2212.04356openalex-snapshot
Robust Speech Recognition via Large-Scale Weak Supervision

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5035352openalex-extracted
Predictive Techniques for Identifying and Classifying Real and Ai-Generated Voices
inferred← citeshttps://doi.org/10.1007/978-3-031-91340-2_6openalex-snapshot
DeepFake Classification Using Fine-Tuned Wave2Vec2.0
inferred← citeshttps://doi.org/10.1007/978-3-032-11782-3_7openalex-snapshot
Synthetic Audio Detection
inferred← citeshttps://doi.org/10.1007/978-981-92-3438-7_30openalex-snapshot
FePS-Net: A Frequency Enhanced Prosody–Style Fusion Network for Deepfake Speech Detection
inferred← citeshttps://doi.org/10.1007/978-981-95-5382-2_25openalex-snapshot
Audio Deepfake Detection via Dual Branch Classifier with Self-Supervised Pre-Trained Model
inferred← citeshttps://doi.org/10.1007/978-981-95-5382-2_26openalex-snapshot
A Multi-subspace Attention Approach for Robust Speech Spoofing Detection in Silence-Trimming Conditions
inferred← citeshttps://doi.org/10.1016/j.array.2025.100494openalex-snapshot
Spoof speech classification using deep speaker embeddings and machine learning models
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100757openalex-snapshot
A comprehensive survey with critical analysis for deepfake speech detection
inferred← citeshttps://doi.org/10.1016/j.csl.2026.102019openalex-snapshot
MSLA-XLS-R: Enhancing hierarchical SSL representations for audio deepfake detection
inferred← citeshttps://doi.org/10.1016/j.cviu.2026.104981openalex-snapshot
Multi-cepstral feature integration for audio deepfake detection under domain shift
inferred← citeshttps://doi.org/10.1109/access.2025.3602531openalex-snapshot
Detecting Deepfake Audio Using Spectrogram-Based Machine Learning Approaches
inferred← citeshttps://doi.org/10.1109/access.2026.3722601openalex-snapshot
Multi-Prototype Variational Information Bottleneck for SSL-Based Speech Spoofing Detection
inferred← citeshttps://doi.org/10.1109/apsipaasc65261.2025.11249202openalex-snapshot
A Wavelet Tour of Audio Deepfake Detection
inferred← citeshttps://doi.org/10.1109/asru65441.2025.11434679openalex-snapshot
Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention’s Alternative
inferred← citeshttps://doi.org/10.1109/asru65441.2025.11434709openalex-snapshot
Post-training for Deepfake Speech Detection
inferred← citeshttps://doi.org/10.1109/biosig65492.2025.11358014openalex-snapshot
SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis
inferred← citeshttps://doi.org/10.1109/cic67133.2025.00027openalex-snapshot
Enhancing the Robustness of AI-Generated Voice Detectors Against Data Poisoning Attacks
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888990openalex-snapshot
Mixture of Experts Fusion for Fake Audio Detection Using Frozen wav2vec 2.0
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460320openalex-snapshot
KAN We Make Models Simpler for Audio Deepfake Detection with Kolmogorov–Arnold Networks?
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460421openalex-snapshot
A Superb-Style Benchmark of Self-Supervised Speech Models for Audio Deepfake Detection
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462275openalex-snapshot
Robust Deepfake Audio Detection via Multi-Level Intermediate Feature Fusion
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463062openalex-snapshot
Tri-Attention Fusion: Joint Temporal-Spectral and Bidirectional Modeling for Speech Spoofing Detection
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464739openalex-snapshot
Addressing Gradient Misalignment in Data-Augmented Training for Robust Speech Deepfake Detection
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464918openalex-snapshot
Fine-Grained Frame Modeling in Multi-Head Self-Attention for Speech Deepfake Detection
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464945openalex-snapshot
Discrete-Continuous Fusion With Adaptive Hierarchical Features For Audio Deepfake Detection
inferred← citeshttps://doi.org/10.1109/icauc68182.2026.11441301openalex-snapshot
Transformer-Integrated CNN-BiLSTM Approach for Audio Forgery Detection via MFCC Feature Analysis
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00161openalex-snapshot
SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection Against Adversarial Attacks
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00169openalex-snapshot
Phoneme-Level Analysis for Person-of-Interest Speech Deepfake Detection
inferred← citeshttps://doi.org/10.1109/icmlt69916.2026.11689525openalex-snapshot
Exploring Temporal Amplitude Envelopes for Robust Deepfake Audio Detection
inferred← citeshttps://doi.org/10.1109/ijcb65343.2025.11411372openalex-snapshot
WaveVerify: A Novel Audio Watermarking Framework for Media Authentication and Combatting Deepfakes
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228261openalex-snapshot
Wav2DF-TSL: Two-stage Learning with Efficient Pre-training and Hierarchical Experts Fusion for Robust Audio Deepfake Detection
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229087openalex-snapshot
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation
inferred← citeshttps://doi.org/10.1109/lsp.2026.3695000openalex-snapshot
WINning Against Audio Deepfakes
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A Multi-Task CNN Framework for Simultaneous Gender Classification and Deepfake Voice Detection in Bangla Speech Under Channel- and Effect-Based Variations
inferred← citeshttps://doi.org/10.1109/rmkmate64874.2025.11042838openalex-snapshot
Unmasking Synthetic Speech: A Novel Deep Learning Model for Deepfake Audio Detection
inferred← citeshttps://doi.org/10.1109/slt61566.2024.10832183openalex-snapshot
XWSB: A Blend System Utilizing XLS-R and Wavlm With SLS Classifier Detection System for SVDD 2024 Challenge
inferred← citeshttps://doi.org/10.1109/slt61566.2024.10832284openalex-snapshot
SVDD 2024: The Inaugural Singing Voice Deepfake Detection Challenge
inferred← citeshttps://doi.org/10.1109/taslpro.2025.3525966openalex-snapshot
The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio
inferred← citeshttps://doi.org/10.1109/taslpro.2025.3611229openalex-snapshot
AWaveFormer: Audio Wavelet Transformer Network for Generalized Audio Deepfake Detection
inferred← citeshttps://doi.org/10.1109/taslpro.2026.3682962openalex-snapshot
ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
inferred← citeshttps://doi.org/10.1109/tbiom.2026.3679274openalex-snapshot
AudioAuth: A Dual-Watermarking Framework for Robust Audio Integrity and Source Attribution
inferred← citeshttps://doi.org/10.1109/tce.2025.3610181openalex-snapshot
Spoof Speech Detection Based on Efficient Attention and Residual Network for Smart Consumer Electronics
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Domain-Invariant Representation Learning for Generalizable Deepfake Speech Detection
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3624972openalex-snapshot
Critical Information Only: A Content Privacy-Preserving Framework for Detecting Audio Deepfakes
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Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-Spoofing
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A Federated Deepfake Speech Detection Method Based on Layer-Wise Center-Guided Weighting Aggregation
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Generalizable Audio Deepfake Detection via Risk-Aware Style Alignment and Structural Empirical Risk Minimization
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SiFMimicEvader: Evading Fake Voice Detection with Adversarial Neural Mimicry Attacks
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ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection
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AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds
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Leveraging Gaussian Attention for Adapter‐Based Fine‐Tuning of WavLM in Audio Deepfake Detection
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Leveraging Latent Information from Self-Supervised Models: A Dual-Branch DetectionMethod for Audio Deepfakes in In-Vehicle Speech Interaction Systems
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KAN You Hear the Truth? Audio Deepfake Detection with Kolmogorov–Arnold Networks
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Benchmarking Audio Deepfake Detection Robustness in Real-World Communication Scenarios
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C-MCSS-Mamba: Counterfactual Mechanism-Contrastive Selective Scan Within Mamba for Block-Causal Speech Deepfake Detection
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Audio Deepfake Detection: What Has Been Achieved and What Lies Ahead
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