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Médias (29)

Mot : - Tags -/Musique

Autres articles (50)

  • Modifier la date de publication

    21 juin 2013, par

    Comment changer la date de publication d’un média ?
    Il faut au préalable rajouter un champ "Date de publication" dans le masque de formulaire adéquat :
    Administrer > Configuration des masques de formulaires > Sélectionner "Un média"
    Dans la rubrique "Champs à ajouter, cocher "Date de publication "
    Cliquer en bas de la page sur Enregistrer

  • Les autorisations surchargées par les plugins

    27 avril 2010, par

    Mediaspip core
    autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs

  • Publier sur MédiaSpip

    13 juin 2013

    Puis-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

Sur d’autres sites (8323)

  • Speech recognition with python-telegram-bot without downloading an audio file

    25 juin 2022, par linz

    I'm developing a telegram bot in which the user sends a voice message, the bot transcribes it and sends back what was said in text.
For that I am using the python-telegram-bot library and the speech_recognition library with the google engine.
My problem is, the voice messages sent by the users are .mp3, however in order to transcribe them i need to convert them to .wav. In order to do that I have to download the file sent to the bot.
Is there a way to avoid that ? I understand this is not an efficient and a safe way to do this since many active users at once will result in race conditions and takes a lot of space.

    


    
def voice_handler(update, context):
    bot = context.bot
    file = bot.getFile(update.message.voice.file_id)
    file.download('voice.mp3')
    filename = "voice.wav"
    
    # convert mp3 to wav file
    subprocess.call(['ffmpeg', '-i', 'voice.mp3',
                         'voice.wav', '-y'])

    # initialize the recognizer
    r = sr.Recognizer()
    
    # open the file
    with sr.AudioFile(filename) as source:
    
        # listen for the data (load audio to memory)
        audio_data = r.record(source)
        # recognize (convert from speech to text)
        text = r.recognize_google(audio_data, language='ar-AR')
        
        
def main() -> None:
    updater.dispatcher.add_handler(MessageHandler(Filters.voice, voice_handler)) 



    


  • avcodec/ffv1dec : Remove redundant writes, fix races

    21 avril 2021, par Andreas Rheinhardt
    avcodec/ffv1dec : Remove redundant writes, fix races
    

    Every modification of the data that is copied in update_thread_context()
    is a data race if it happens after ff_thread_finish_setup. ffv1dec's
    update_thread_context() simply uses memcpy for updating the new context,
    so that every modification of the src's context is a race.
    Some of these modifications are unnecessary : picture_number is write-only
    for the decoder and cur will be reset when decoding the next frame anyway.
    So remove them. And while just at it, also don't set cur for the slice
    contexts as this variable is write-only.

    Reviewed-by : Anton Khirnov <anton@khirnov.net>
    Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@outlook.com>

    • [DH] libavcodec/ffv1dec.c
  • lavu/vulkan : add support for using libshaderc as a GLSL compiler

    19 novembre 2021, par Lynne
    lavu/vulkan : add support for using libshaderc as a GLSL compiler
    

    It's got a much better API that's actually maintained, it eliminates
    race conditions, it comes with a pkg-config file by default, and
    unfortunately isn't currently packaged by Debian or other large
    distributions.

    • [DH] configure
    • [DH] libavutil/vulkan.c
    • [DH] libavutil/vulkan_shaderc.c