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Graph theoretical analysis reveals the adaptive role of the left ventral occipito-temporal cortex in the brain networks during speech processing
In: https://hal.archives-ouvertes.fr/hal-03576260 ; 2022 (2022)
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The VoicePrivacy 2022 Challenge Evaluation Plan ...
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Discovering Affinity Relationships between Personality Types ...
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COVID-19: Detecting depression signals during stay-at-home period
In: Health Informatics J (2022)
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Observation of new excited ${B} ^0_{s} $ states
In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-03010999 ; Eur.Phys.J.C, 2021, 81 (7), pp.601. ⟨10.1140/epjc/s10052-021-09305-3⟩ (2021)
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Caractérisation des relations sémantiques entre termes multi-mots fondée sur l'analogie
In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265884 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.115-124 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
Abstract: Supplementary material to the paper "The VoicePrivacy 2020 Challenge: Results and findings" (https://hal.archives-ouvertes.fr/hal-03332224) submitted to CSL. ; The VoicePrivacy 2020 Challenge focuses on developing anonymization solutions for speech technology. This report complements the summary results and analyses presented by Tomashenko et al. (2021). After quickly recalling the challenge design and the submitted anonymization systems, we provide more detailed results and analyses. First, we present objective evaluation results for the primary challenge metrics and for alternative metrics and attack models, and we compare them with each other. Second, we present subjective evaluation results for speaker verifiability, speech naturalness, and speech intelligibility. Finally, we compare these objective and subjective evaluation results with each other.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; anonymization; attack model; automatic speech recognition; metrics; privacy; speaker verification; speech synthesis; utility; voice conversion
URL: https://hal.archives-ouvertes.fr/hal-03335126
https://hal.archives-ouvertes.fr/hal-03335126v5/document
https://hal.archives-ouvertes.fr/hal-03335126v5/file/VoicePrivacy_supplementary.pdf
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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9
The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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11
The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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12
Benchmarking and challenges in security and privacy for voice biometrics
In: SPSC 2021, 1st ISCA Symposium on Security and Privacy in Speech Communication ; https://hal.archives-ouvertes.fr/hal-03346196 ; SPSC 2021, 1st ISCA Symposium on Security and Privacy in Speech Communication, ISCA, Nov 2021, Magdeburg, Germany. ⟨10.21437/SPSC.2021-11⟩ ; https://spsc-symposium2021.de/#home (2021)
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13
Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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14
Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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15
The VoicePrivacy 2020 Challenge: Results and findings
In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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16
Infective Endocarditis in Patients on Chronic Hemodialysis
In: ISSN: 0735-1097 ; Journal of the American College of Cardiology ; https://hal.archives-ouvertes.fr/hal-03369871 ; Journal of the American College of Cardiology, Elsevier, 2021, 77 (13), pp.1629-1640. ⟨10.1016/j.jacc.2021.02.014⟩ (2021)
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17
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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18
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection ...
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COVID-19: Detecting Depression Signals during Stay-At-Home Period ...
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20
COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
Yamada, Yuki; Ćepulić, Dominik-Borna; Coll-Martín, Tao. - : Nature Publishing Group UK, 2021. : Scientific Data, 2021
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