13 citations · 16 across the 5 of their papers we have counts for
8 papers
Speech Pseudonymisation Assessment Using Voice Similarity Matrices
Paul-Gauthier Noé, Jean-François Bonastre, Driss Matrouf +3
The proliferation of speech technologies and rising privacy legislation calls for the development of privacy preservation solutions for speech applications. These are essential sin…
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020
Maha Elbayad, Ha Nguyen, Fethi Bougares +5
This paper describes the ON-TRAC Consortium translation systems developed for two challenge tracks featured in the Evaluation Campaign of IWSLT 2020, offline speech translation and…
Design Choices for X-vector Based Speaker Anonymization
Brij Mohan Lal Srivastava, Natalia Tomashenko, Xin Wang +5
The recently proposed x-vector based anonymization scheme converts any input voice into that of a random pseudo-speaker. In this paper, we present a flexible pseudo-speaker selecti…
Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models
Natalia Tomashenko, Yuri Khokhlov, Yannick Esteve
In this paper we investigate the GMM-derived (GMMD) features for adaptation of deep neural network (DNN) acoustic models. The adaptation of the DNN trained on GMMD features is done…
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems
Natalia Tomashenko, Christian Raymond, Antoine Caubriere +2
This work investigates the embeddings for representing dialog history in spoken language understanding (SLU) systems. We focus on the scenario when the semantic information is extr…
ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task
Ha Nguyen, Natalia Tomashenko, Marcely Zanon Boito +5
This paper describes the ON-TRAC Consortium translation systems developed for the end-to-end model task of IWSLT Evaluation 2019 for the English-to-Portuguese language pair. ON-TRA…