2 papers
cs.SD2024
Neural Scoring: A Refreshed End-to-End Approach for Speaker Recognition in Complex Conditions
Wan Lin, Junhui Chen, Tianhao Wang +3
Modern speaker verification systems primarily rely on speaker embeddings, followed by verification based on cosine similarity between the embedding vectors of the enrollment and te…
cs.SD2024
Adversarial Data Augmentation for Robust Speaker Verification
Zhenyu Zhou, Junhui Chen, Namin Wang +2
Data augmentation (DA) has gained widespread popularity in deep speaker models due to its ease of implementation and significant effectiveness. It enriches training data by simulat…