ASVspoof 5

The 'ASVspoof 5' dataset is a benchmark used to evaluate speech deepfake detection systems by providing a collection of spoofed and genuine speech samples.

Papers using ASVspoof 5 (13)

Asvspoof 5: Design, Collection And Validation Of Resources For Spoofing, Deepfake, And Adversarial Attack Detection Using Crowdsourced Speech2025 · 19 citesSpoofing-robust Speaker Verification Using Parallel Embedding Fusion: BTU Speech Group's Approach For Asvspoof5 Challenge2024 · 4 citesAsasvicomtech: The Vicomtech-ugr Speech Deepfake Detection And SASV Systems For The Asvspoof5 Challenge2024 · 4 citesGeneralizable Speech Deepfake Detection via Information Bottleneck Enhanced Adversarial Alignment2025 · 1 citesCyclostationarity Analysis as a Complement to Self-Supervised Representations for Speech Deepfake Detection2026Quantizer-Aware Hierarchical Neural Codec Modeling for Speech Deepfake Detection2026ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech2026Hybrid Pruning: In-Situ Compression of Self-Supervised Speech Models for Speaker Verification and Anti-Spoofing2025Towards Scalable AASIST: Refining Graph Attention for Speech Deepfake Detection2025WavLM model ensemble for audio deepfake detection2024ASASVIcomtech: The Vicomtech-UGR Speech Deepfake Detection and SASV Systems for the ASVspoof5 Challenge2024Spoofing-Robust Speaker Verification Using Parallel Embedding Fusion: BTU Speech Group's Approach for ASVspoof5 Challenge2024Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge2024