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• How do I make ffmpeg not open a window when used in Python (Discord Bot Youtube Audio Player Pytube)

  20 juin 2019, par Brandalf

  I am using pytube to create a Discord bot that gets audio from a YouTube video and plays it in the voice channel using the code below. The code works perfectly fine and does what I want which is playing audio from YouTube with a link. The issue is that it uses ffmpeg and when it does, it opens the ffmpeg.exe window. Having a window constantly pop up on my screen is kind of annoying but what’s worse is that if I am playing a game in full screen, when ffmpeg is run, it will tab out of my game. So I’m wondering if there is a way to prevent ffmpeg from opening the window or if there is an alternative to playing youtube audio in Discord with a bot that doesn’t use ffmpeg.

  user=ctx.message.author
  
  voice_channel=user.voice.voice_channel
  
  vc = await client.join_voice_channel(voice_channel)
  
  player = await vc.create_ytdl_player(videoLink)
  
  video = pafy.new(videoLink) #runs ffmpeg
  
  player.start()

• Improving Google Cloud Speech-to-Text accuracy

  6 juillet 2020, par lr_optim

  I'm working on a project where I need to perform these steps :

  


  

  1. Record a voice call (.webm -file)

  


  2. Split the webm -file into chunks with ffmpeg and convert the file into wav

  


  3. Transcribe the chunks using SpeechRecognition -library and Google Cloud API

  


  


  I've faced problems with the transcription accuracy and wondering if there is something I could do to improve it. At the time I'm splitting the original file into 30s chunks. I thought there might be one problem, that I might be missing words because of splitting so I've tried also with longer chunks under 60s but didn't notice any improve in accuracy.
Reading trough the speechRecognition docs I decided to set r.energy_threshold = 4000, I also tried to set the energy_treshold dynamically like this :

  


  with sr.AudioFile(name) as source:
    r.dynamic_energy_threshold = True
    r.adjust_for_ambient_noise(source, duration = 1)
    audio = r.record(source)


  


  I've also tested en-US and en-GB to see if there's some difference but there isn't as much as I'd want. The program is supposed to work with english language spoken by nordic people. If someone has experience about choosing a right language model for people speaking with accent, please let me know.

  


  This is the ffmpeg command is use to split the webm file into chunks : command = ['ffmpeg', '-i', filename, '-f', 'segment', '-segment_time', '30', parts_dir + outputname + '%09d.wav']

  


  Is there somethig I could do better ? I'm wondering if the quality is not good enough an Google is having hard time because of that ?

  


  The main problem is I'm getting bad results (lots of wrong words) from Google and wondering if there is something I could do about it.

  


• Revision 95a484c01465c56cc527a044e72c2e1165f5448f : Google&co indexe les urls courtes microbloguees. Il convient donc de les ...

  6 décembre 2010, par Cerdic — Log

  Google&co indexe les urls courtes microbloguees. Il convient donc de les rediriger par un status 301 afin d’indiquer que cette adresse courte est definitivement renvoyee vers l’url complete git-svn-id : svn ://trac.rezo.net/spip/branches/spip-2.1@16625 (...)