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pygamma-agreement: Gamma γ measure for inter/intra-annotator agreement in Python ; pygamma-agreement: La mesure γ pour l'accord inter/intra-annotateurs en Python
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In: https://hal.archives-ouvertes.fr/hal-03144116 ; 2021 (2021)
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pygamma-agreement: Gamma γ measure for inter/intra-annotator agreement in Python ; pygamma-agreement: La mesure γ pour l'accord inter/intra-annotateurs en Python
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In: https://hal.archives-ouvertes.fr/hal-03144116 ; 2021 (2021)
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pygamma-agreement: Gamma measure for inter/intra-annotator agreement in Python ...
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pygamma-agreement: Gamma measure for inter/intra-annotator agreement in Python ...
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Phonemizer: Text to Phones Transcription for Multiple Languages in Python ...
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Phonemizer: Text to Phones Transcription for Multiple Languages in Python ...
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Seshat: A tool for managing and verifying annotation campaigns of audio data
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In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02496041 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.6976-6982 (2020)
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Abstract:
International audience ; 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 formatting and naming conventions of the annotated output files. In addition, it includes procedures for checking the content of annotations following specific rules that can be implemented in personalised parsers. Finally, we propose a double-annotation mode, for which Seshat computes automatically an associated inter-annotator agreement with the γ measure taking into account the categorisation and segmentation discrepancies. ; Nous introduisons Seshat, un nouveau logiciel libre permettant d'efficacement gérer l'annotation de corpora de parole. Le logiciel Seshat permet aux utilisateurs de facilement spécifier et gérer l'annotation de corpora d'audio conséquents, tout en s'assurant que les fichiers des annotations respectent des conventions de formattage et de nommage prédéfinies. En outre, des procédures de vérification du contenu des annotations sont livrées dans Seshat, avec la possibilité d'inclure des parsers externes. Finalement, nous proposons un mode dit de "double annotation", dans lequel Seshat calcule automatiquement une mesure de la concordance inter-annotateur avec la mesure γ, qui prend en compte les différences de catégorisation et de segmentation.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]; [SCCO.LING]Cognitive science/Linguistics; annotations management; speech corpora; speech transcription
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URL: https://hal.archives-ouvertes.fr/hal-02496041 https://hal.archives-ouvertes.fr/hal-02496041v2/file/Seshat_2020_LREC_2020_Paper_Titeux_et_al__Final.pdf https://hal.archives-ouvertes.fr/hal-02496041v2/document
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Vocal markers from sustained phonation in Huntington's Disease
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In: INTERSPEECH 2020 - Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03070388 ; INTERSPEECH 2020 - Annual Conference of the International Speech Communication Association, Oct 2020, Shanghai / Virtual, China (2020)
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Speaker detection in the wild: Lessons learned from JSALT 2019
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In: Odyssey 2020 The Speaker and Language Recognition Workshop ; https://hal.archives-ouvertes.fr/hal-02417632 ; Odyssey 2020 The Speaker and Language Recognition Workshop, Nov 2020, Tokyo, Japan (2020)
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