Vox-1-E
Emerging3papers using it
2022first seen
The 'Vox-1-E' dataset is a benchmark used to evaluate the performance of speaker verification and anti-spoofing models.
Papers using Vox-1-E (3)
- Hybrid Pruning: In-Situ Compression of Self-Supervised Speech Models for Speaker Verification and Anti-SpoofingAn attention-based backend allowing efficient fine-tuning of transformer
models for speaker verificationParameter-efficient transfer learning of pre-trained Transformer models
for speaker verification using adapters