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PeerTube/packages/tests/fixtures/transcription/videos/derive_sectaire.srt

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feat(transcription): groundwork chore: fiddling around some more chore: add ctranslate2 and timestamped chore: add performance markers chore: refactor test chore: change worflow name chore: ensure Python3 chore(duration): convert to chai/mocha syntahx chore(transcription): add individual tests for others transcribers chore(transcription): implement formats test of all implementations Also compare result of other implementation to the reference implementation chore(transcription): add more test case with other language and models size and local model chore(test): wip ctranslate 2 adapat chore(transcription): wip transcript file and benchmark chore(test): clean a bit chore(test): clean a bit chore(test): refacto timestamed spec chore(test): update workflow chore(test): fix glob expansion with sh chore(test): extract some hw info chore(test): fix async tests chore(benchmark): add model info feat(transcription): allow use of a local mode in timestamped-whisper feat(transcription): extract run and profiling info in own value object feat(transcription): extract run concept in own class an run more bench chore(transcription): somplify run object only a uuid is now needed and add more benchmark scenario docs(transcription): creates own package readme docs(transcription): add local model usage docs(transcription): update README fix(transcription): use fr video for better comparison chore(transcription): make openai comparison passed docs(timestamped): clea chore(transcription): change transcribers transcribe method signature Introduce whisper builtin model. fix(transcription): activate language detection Forbid transcript creation without a language. Add `languageDetection` flag to an engine and some assertions. Fix an issue in `whisper-ctranslate2` : https://github.com/Softcatala/whisper-ctranslate2/pull/93 chore(transcription): use PeerTube time helpers instead of custom ones Update existing time function to output an integer number of seconds and add a ms human-readable time formatter with hints of tests. chore(transcription): use PeerTube UUID helpers chore(transcription): enable CER evaluation Thanks to this recent fix in Jiwer <3 https://github.com/jitsi/jiwer/issues/873 chore(jiwer): creates JiWer package I'm not very happy with the TranscriptFileEvaluator constructor... suggestions ? chore(JiWer): add usage in README docs(jiwer): update JiWer readme chore(transcription): use FunMOOC video in fixtures chore(transcription): add proper english video fixture chore(transcription): use os tmp directory where relevant chore(transcription): fix jiwer cli test reference.txt chore(transcription): move benchmark out of tests chore(transcription): remove transcription workflow docs(transcription): add benchmark info fix(transcription): use ms precision in other transcribers chore(transcription): simplify most of the tests chore(transcription): remove slashes when building path with join chore(transcription): make fromPath method async chore(transcription): assert path to model is a directory for CTranslate2 transcriber chore(transcription): ctranslate2 assertion chore(transcription): ctranslate2 assertion chore(transcription): add preinstall script for Python dependencies chore(transcription): add download and unzip utils functions chore(transcription): add download and unzip utils functions chore(transcription): download & unzip models fixtures chore(transcription): zip chore(transcription): raise download file test timeout chore(transcription): simplify download file test chore(transcription): add transcriptions test to CI chore(transcription): raise test preconditions timeout chore(transcription): run preinstall scripts before running ci chore(transcription): create dedicated tmp folder for transcriber tests chore(transcription): raise timeout some more chore(transcription): raise timeout some more chore(transcription): raise timeout some more chore(transcription): raise timeout some more chore(transcription): raise timeout some more chore(transcription): raise timeout some more chore(transcription): raise timeout some more chore(transcription): raise timeout some more chore(transcription): use short video for local model test chore(transcription): raise timeout some more chore(transcription): raise timeout some more chore(transcription): raise timeout some more chore(transcription): setup verbosity based on NODE_ENV value
2024-03-29 10:34:45 +01:00

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-Bonjour et bienvenue sur FUN MOOC.
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Notre MOOC "Comment parler
à une victime d'emprise mentale
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ou de dérive sectaire"
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s'adresse à tout professionnel
du domaine de la santé,
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de l'associatif, du juridique,
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qui pourra être en contact
avec une victime de telles dérives.
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Il sera composé de 14 leçons vidéo
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d'une dizaine de minutes
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divisées en quatre blocs.
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Le premier bloc vous informera
de ce que sont exactement
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l'emprise mentale
et une dérive sectaire.
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-Ça consiste toujours
en une forme de manipulation
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qui conduit à une dépendance,
à une sorte de cercle vicieux,
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où les personnes ne parviennent pas
à se désengager d'un processus
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00:00:51,520 --> 00:00:54,120
qui les conduit
soit à donner de l'argent,
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00:00:54,440 --> 00:00:56,160
à se livrer à des actes
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qu'en réalité
ils n'auraient pas acceptés,
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ou, tout simplement, à accepter
de participer à une organisation
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dont ils ne partagent pas
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toutes les méthodes
ou tous les points de vue.
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-Le deuxième bloc vous informera
des bonnes techniques d'écoute
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d'une personne
ayant vécu de tels traumatismes.
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-C'est un sujet actuel
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parce que ce phénomène
est en croissance.
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Il y a une augmentation très importante,
un doublement,
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en l'espace de quelques années,
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en moins de 10 ans.
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-Le bloc 3, lui,
sera conçu par nos juristes
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pour vous indiquer
quelles sont les grandes infractions
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en lien avec l'emprise mentale,
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et surtout, pouvoir faire
une analyse perspicace
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d'une situation individuelle.
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Enfin, le bloc 4 vous assistera
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pour savoir comment aiguiller
une victime
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vers les bons professionnels.
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Bonne formation.