2021
Double Multi-Head Attention for Speaker Verification
ICASSP 2021accepted
Most state-of-the-art Deep Learning systems for text-independent speaker verification are based on speaker embedding extractors. These architectures are commonly composed of a feature extractor front-end together with a pooling layer to encode variable-length utterances into fixed-length speaker vec…