3 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
Speaker Characterization by means of Attention Pooling
Federico Costa, Miquel India, Javier Hernando
State-of-the-art Deep Learning systems for speaker verification are commonly based on speaker embedding extractors. These architectures are usually composed of a feature extractor…
The UPC Speaker Verification System Submitted to VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20)
Umair Khan, Javier Hernando
This report describes the submission from Technical University of Catalonia (UPC) to the VoxCeleb Speaker Recognition Challenge (VoxSRC-20) at Interspeech 2020. The final submissio…
Self-attention encoding and pooling for speaker recognition
Pooyan Safari, Miquel India, Javier Hernando
The computing power of mobile devices limits the end-user applications in terms of storage size, processing, memory and energy consumption. These limitations motivate researchers f…
Double Multi-Head Attention for Speaker Verification
Miquel India, Pooyan Safari, Javier Hernando
Most state-of-the-art Deep Learning systems for speaker verification are based on speaker embedding extractors. These architectures are commonly composed of a feature extractor fro…