no code implementations • ACL (GeBNLP) 2021 • Mahault Garnerin, Solange Rossato, Laurent Besacier
In this paper we question the impact of gender representation in training data on the performance of an end-to-end ASR system.
no code implementations • JEPTALNRECITAL 2020 • Mahault Garnerin, Solange Rossato, Laurent Besacier
Avec l{'}essor de l{'}intelligence artificielle (IA) et l{'}utilisation croissante des architectures d{'}apprentissage profond, la question de l{'}{\'e}thique et de la transparence des syst{\`e}mes d{'}IA est devenue une pr{\'e}occupation centrale au sein de la communaut{\'e} de recherche.
no code implementations • JEPTALNRECITAL 2020 • Mahault Garnerin, Solange Rossato, Laurent Besacier
Nous proposons une r{\'e}flexion sur les pratiques d{'}{\'e}valuation des syst{\`e}mes de reconnaissance automatique de la parole (ASR).
no code implementations • LREC 2020 • Mahault Garnerin, Solange Rossato, Laurent Besacier
With the rise of artificial intelligence (AI) and the growing use of deep-learning architectures, the question of ethics, transparency and fairness of AI systems has become a central concern within the research community.
no code implementations • 23 Aug 2019 • Mahault Garnerin, Solange Rossato, Laurent Besacier
The disparity of available data for both gender causes performance to decrease on women.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • LREC 2020 • Marcely Zanon Boito, William N. Havard, Mahault Garnerin, Éric Le Ferrand, Laurent Besacier
However, the fact that the source content (the Bible) is the same for all the languages is not exploited to date. Therefore, this article proposes to add multilingual links between speech segments in different languages, and shares a large and clean dataset of 8, 130 parallel spoken utterances across 8 languages (56 language pairs).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4