3 citations · 5 across the 5 of their papers we have counts for
6 papers
I4U System Description for NIST SRE'20 CTS Challenge
Kong Aik Lee, Tomi Kinnunen, Daniele Colibro +23
This manuscript describes the I4U submission to the 2020 NIST Speaker Recognition Evaluation (SRE'20) Conversational Telephone Speech (CTS) Challenge. The I4U's submission was resu…
On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding
Gaëlle Laperrière, Valentin Pelloin, Mickaël Rouvier +2
In this paper we examine the use of semantically-aligned speech representations for end-to-end spoken language understanding (SLU). We employ the recently-introduced SAMU-XLSR mode…
Studying squeeze-and-excitation used in CNN for speaker verification
Mickael Rouvier, Pierre-Michel Bousquet
In speaker verification, the extraction of voice representations is mainly based on the Residual Neural Network (ResNet) architecture. ResNet is built upon convolution layers which…
Study on the temporal pooling used in deep neural networks for speaker verification
Mickael Rouvier, Pierre-Michel Bousquet, Jarod Duret
The x-vector architecture has recently achieved state-of-the-art results on the speaker verification task. This architecture incorporates a central layer, referred to as temporal p…
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…
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen +43
The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which…