no code implementations • 17 Aug 2020 • Pooyan Safari, Behnam Shariati, Johannes Karl Fischer
We present a privacy-preserving distributed learning framework for telecom ecosystems in the 6G-era that enables the vision of shared ownership and governance of ML models, while protecting the privacy of the data owners.
no code implementations • 3 Aug 2020 • Pooyan Safari, Miquel India, Javier Hernando
On the other hand, self-attention networks based on Transformer architecture have attracted remarkable interests due to their high parallelization capabilities and strong performance on a variety of Natural Language Processing (NLP) applications.
1 code implementation • 26 Jul 2020 • Miquel India, Pooyan Safari, Javier Hernando
In this paper we present Double Multi-Head Attention pooling, which extends our previous approach based on Self Multi-Head Attention.
Audio and Speech Processing Sound
no code implementations • 24 Jun 2019 • Miquel India, Pooyan Safari, Javier Hernando
Most state-of-the-art Deep Learning (DL) approaches for speaker recognition work on a short utterance level.
1 code implementation • 27 Apr 2019 • Yuming Zhai, Pooyan Safari, Gabriel Illouz, Alexandre Allauzen, Anne Vilnat
This work demonstrates that it is possible to automatically classify translation processes.