1 code implementation • 12 Mar 2021 • Rachid Riad, Julien Karadayi, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux
We found out that models based on Learnable STRFs are on par for all tasks with different toplines, and obtain the best performance for Speech Activity Detection.
no code implementations • 30 Oct 2020 • Rachid Riad, Hadrien Titeux, Laurie Lemoine, Justine Montillot, Agnes Sliwinski, Jennifer Hamet Bagnou, Xuan Nga Cao, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux
Here, we proposed a split of the data that allows conducting a comparative evaluation of speaker role recognition and speaker enrollment methods to solve this task.
1 code implementation • 9 Jun 2020 • Rachid Riad, Hadrien Titeux, Laurie Lemoine, Justine Montillot, Jennifer Hamet Bagnou, Xuan Nga Cao, Emmanuel Dupoux, Anne-Catherine Bachoud-Lévi
According to our regression results, Phonatory features are suitable for the predictions of clinical performance in Huntington's Disease.
1 code implementation • LREC 2020 • Hadrien Titeux, Rachid Riad, Xuan-Nga Cao, Nicolas Hamilakis, Kris Madden, Alejandrina Cristia, Anne-Catherine Bachoud-Lévi, Emmanuel Dupoux
We introduce Seshat, a new, simple and open-source software to efficiently manage annotations of speech corpora.
no code implementations • LREC 2020 • Rachid Riad, Anne-Catherine Bachoud-Lévi, Frank Rudzicz, Emmanuel Dupoux
Here, we introduce a new evaluation framework for disfluency detection inspired by the clinical and NLP perspective together with the theory of performance from \cite{clark1996using} which distinguishes between primary and collateral tracks.