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Medias (1)
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The Great Big Beautiful Tomorrow
28 October 2011, by
Updated: October 2011
Language: English
Type: Text
Other articles (73)
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Publier sur MédiaSpip
13 June 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
Support de tous types de médias
10 April 2011Contrairement à beaucoup de logiciels et autres plate-formes modernes de partage de documents, MediaSPIP a l’ambition de gérer un maximum de formats de documents différents qu’ils soient de type : images (png, gif, jpg, bmp et autres...); audio (MP3, Ogg, Wav et autres...); vidéo (Avi, MP4, Ogv, mpg, mov, wmv et autres...); contenu textuel, code ou autres (open office, microsoft office (tableur, présentation), web (html, css), LaTeX, Google (...)
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Selection of projects using MediaSPIP
2 May 2011, byThe examples below are representative elements of MediaSPIP specific uses for specific projects.
MediaSPIP farm @ Infini
The non profit organizationInfini develops hospitality activities, internet access point, training, realizing innovative projects in the field of information and communication technologies and Communication, and hosting of websites. It plays a unique and prominent role in the Brest (France) area, at the national level, among the half-dozen such association. Its members (...)
On other websites (10959)
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Fingerprint vs transcribing, what is the best approach to identify an audio sample inside another longer audio [closed]
28 May 2024, by Bernard WiesnerI am trying to detect a shorter version of a spoken audio sample inside a longer audio (full version). The shorter audio should be the same or very similar to the one inside the longer version. I also need to have a rough estimate of the timestamp where the audio sample was found.


Similar questions here:


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- Identify audio sample in a file
- How to find the location of a specific word in an audio file?






What I have researched so far:


1. fingerprints


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- Using chromaprint extract the fingerprints from both audio files and store them in a DB, then compare them and find matches.




2. transcribing


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- Use a transcriber such as whisper, to transcribe both audio files and store the text in a DB, then compare them and find matches.




I am trying to figure out the simplest solution for this, while still being performant and not too CPU/GPU intensive. My questions are:


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- Which one would you chose for simplest, cost effective solution?
- Which one would consume more disk space?
- Which one would perform better, in terms of searching/matching using SQL?








FYI: If there are any other alternatives to those I listed please let me know.


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How to split video or audio by silent parts
18 March 2016, by TermiTI need to automatically split video of a speech by words, so every word is a separate video file. Do you know any ways to do this?
My plan was to detect silent parts and use them as words separators. But i didn’t find any tool to do this and looks like ffmpeg is not the right tool for that.
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How to split video or audio by silent parts
9 February 2021, by TermiTI need to automatically split video of a speech by words, so every word is a separate video file. Do you know any ways to do this?



My plan was to detect silent parts and use them as words separators. But i didn't find any tool to do this and looks like ffmpeg is not the right tool for that.