ASVspoof 2021 LA
Emerging8papers using it
2021first seen
The 'ASVspoof 2021 LA' dataset is used to evaluate the performance of automatic speaker verification systems against spoofing attacks, specifically focusing on the detection of synthetic speech.
Papers using ASVspoof 2021 LA (8)
- Generalizable Audio Deepfake Detection via Latent Space Refinement and
AugmentationRawTFNet: A Lightweight CNN Architecture for Speech Anti-spoofingXLSR-MamBo: Scaling the Hybrid Mamba-Attention Backbone for Audio Deepfake DetectionXLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing
Attack DetectionInvestigating self-supervised front ends for speech spoofing
countermeasuresGMM-ResNet2: Ensemble of Group ResNet Networks for Synthetic Speech
DetectionAdvanced Signal Analysis in Detecting Replay Attacks for Automatic Speaker Verification SystemsAttentive Merging of Hidden Embeddings from Pre-trained Speech Model for
Anti-spoofing Detection