Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Cao, Xuan Nga"'
Autor:
Achouche, Vincent, Piollet, Margaux, Temame, Myriam, Cao, Xuan Nga, D’herbemont, Victor, Moreau, Jacques, Wendland, Jaqueline *
Publikováno v:
In Annales médico-psychologiques March 2024 182(3):233-241
Autor:
Riad, Rachid, Titeux, Hadrien, Lemoine, Laurie, Montillot, Justine, Sliwinski, Agnes, Bagnou, Jennifer Hamet, Cao, Xuan Nga, Bachoud-Lévi, Anne-Catherine, Dupoux, Emmanuel
Conversations between a clinician and a patient, in natural conditions, are valuable sources of information for medical follow-up. The automatic analysis of these dialogues could help extract new language markers and speed-up the clinicians' reports.
Externí odkaz:
http://arxiv.org/abs/2010.16131
Autor:
Dunbar, Ewan, Karadayi, Julien, Bernard, Mathieu, Cao, Xuan-Nga, Algayres, Robin, Ondel, Lucas, Besacier, Laurent, Sakti, Sakriani, Dupoux, Emmanuel
Publikováno v:
Proceedings of Interspeech 2020
We present the Zero Resource Speech Challenge 2020, which aims at learning speech representations from raw audio signals without any labels. It combines the data sets and metrics from two previous benchmarks (2017 and 2019) and features two tasks whi
Externí odkaz:
http://arxiv.org/abs/2010.05967
Autor:
Riad, Rachid, Titeux, Hadrien, Lemoine, Laurie, Montillot, Justine, Bagnou, Jennifer Hamet, Cao, Xuan Nga, Dupoux, Emmanuel, Bachoud-Lévi, Anne-Catherine
Disease-modifying treatments are currently assessed in neurodegenerative diseases. Huntington's Disease represents a unique opportunity to design automatic sub-clinical markers, even in premanifest gene carriers. We investigated phonatory impairments
Externí odkaz:
http://arxiv.org/abs/2006.05365
Autor:
Titeux, Hadrien, Riad, Rachid, Cao, Xuan-Nga, Hamilakis, Nicolas, Madden, Kris, Cristia, Alejandrina, Bachoud-Lévi, Anne-Catherine, Dupoux, Emmanuel
Publikováno v:
LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.6976-6982
We introduce Seshat, a new, simple and open-source software to efficiently manage annotations of speech corpora. The Seshat software allows users to easily customise and manage annotations of large audio corpora while ensuring compliance with the for
Externí odkaz:
http://arxiv.org/abs/2003.01472
Autor:
Dunbar, Ewan, Algayres, Robin, Karadayi, Julien, Bernard, Mathieu, Benjumea, Juan, Cao, Xuan-Nga, Miskic, Lucie, Dugrain, Charlotte, Ondel, Lucas, Black, Alan W., Besacier, Laurent, Sakti, Sakriani, Dupoux, Emmanuel
We present the Zero Resource Speech Challenge 2019, which proposes to build a speech synthesizer without any text or phonetic labels: hence, TTS without T (text-to-speech without text). We provide raw audio for a target voice in an unknown language (
Externí odkaz:
http://arxiv.org/abs/1904.11469
Autor:
Gallezot, Charlotte, Riad, Rachid, Titeux, Hadrien, Lemoine, Laurie, Montillot, Justine, Sliwinski, Agnes, Bagnou, Jennifer Hamet, Cao, Xuan Nga, Youssov, Katia, Dupoux, Emmanuel, Bachoud Levi, Anne-Catherine
Publikováno v:
In Cortex October 2022 155:150-161
Autor:
Dunbar, Ewan, Cao, Xuan Nga, Benjumea, Juan, Karadayi, Julien, Bernard, Mathieu, Besacier, Laurent, Anguera, Xavier, Dupoux, Emmanuel
We describe a new challenge aimed at discovering subword and word units from raw speech. This challenge is the followup to the Zero Resource Speech Challenge 2015. It aims at constructing systems that generalize across languages and adapt to new spea
Externí odkaz:
http://arxiv.org/abs/1712.04313
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 Feb . 118(7), 1-12.
Externí odkaz:
https://www.jstor.org/stable/27027311
Autor:
Riad, Rachid, Titeux, Hadrien, Cao, Xuan Nga, Dupoux, Emmanuel, Lemoine, Laurie, Montillot, Justine, Sliwinski, Agnes, Bagnou, Jennifer Hamet, Anne-Catherine Bachoud-Lévi
Publikováno v:
SLPAT 2022-9th Workshop on Speech and Language Processing for Assistive Technologies
SLPAT 2022-9th Workshop on Speech and Language Processing for Assistive Technologies, May 2022, Dublin, Ireland
Web of Science
SLPAT 2022-9th Workshop on Speech and Language Processing for Assistive Technologies, May 2022, Dublin, Ireland
Web of Science
International audience; Conversations between a clinician and a patient, in natural conditions, are valuable sources of information for medical follow-up. The automatic analysis of these dialogues could help extract new language markers and speed up
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7511dbe6ec9b204fa23ffa278fd633ef
https://hal.inria.fr/hal-03831674
https://hal.inria.fr/hal-03831674