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• Converting WebM audio to mp3 using ffmpeg and Rails

  30 avril 2021, par Garrett Bodley

  I created an online step sequencer and want to add functionality so that users can record the audio and save it as an mp3 on their local machine. I've been able to use the WebAudioAPI to record the sound generated in the browser window and send it to my Rails backend as a WebM blob. I am attempting to incorporate ffmpeg using the Streamio gem.

  


  How do I convert that blob to mp3 ? I'm planning on making a Recording model that belongs_to :user and has_one_attached :audio. I imagine I should use a before_save callback to process the blob ? What's confusing to me is that it seems streamio creates a new copy of the file when transcoding. How do I convert the blob to mp3 in place ?

  


  I've seen some posts where people call ffmpeg using system("ffmpeg code goes here") but I don't really understand how to grab the output so that ActiveStorage can link the resulting file to my models and whatnot.

  


  To add complexity to all of this is that I ultimately want to host this publicly and store the audio in a Cloudinary folder, which I imagine would change the process quite a bit. As you can tell I'm a bit confused as to how best to approach this problem. Any help would be greatly appreciated !

  


• Extracting audio from video using fluent-ffmpeg

  12 mars, par Idi Favour

  Im trying to extract the audio from a video, an error is occuring
Error converting file : Error : ffmpeg exited with code 234 : Error opening output file ./src/videos/output-audio.mp3.
Error opening output files : Invalid argument

  


  I use this same directory for my video compression that runs before this one and it works.

  


  ffmpeg()
  .input(url)
  .audioChannels(0)
  .format("mp3")
  .output("./src/videos/output-audio.mp3")
  .on("error", (err) => console.error(`Error converting file: ${err}`))
  .on("end", async () => {
    console.log("audio transcripts");
   
    const stream = fs.createReadStream("./src/videos/output-audio.mp3");
    const transcription = await openai.audio.transcriptions.create({
      file: stream,
      model: "whisper-1",
      response_format: "verbose_json",
      timestamp_granularities: ["word"],
    });
    transcripts = transcription.text;
    console.log(transcription.text);
  })
  .run();


  


• Revision bfc27bb614 : tx-skip experiment : improve entropy coding of coeff tokens This patch allows th

  31 mars 2015, par hui su

  Changed Paths :
   Modify /vp9/common/vp9_entropy.c

  
   Modify /vp9/common/vp9_entropy.h

  
   Modify /vp9/common/vp9_onyxc_int.h

  
   Modify /vp9/common/vp9_quant_common.c

  
   Modify /vp9/decoder/vp9_detokenize.c

  
   Modify /vp9/encoder/vp9_encodemb.c

  
   Modify /vp9/encoder/vp9_rdopt.c

  
   Modify /vp9/encoder/vp9_tokenize.c

  
  
  tx-skip experiment : improve entropy coding of coeff tokens

  This patch allows the prediction residues of tx-skipped blocks
  to use probs that are different from regular transfrom
  coefficients for token entropy coding. Prediction residues are
  assumed as in band 6.

  The initial value of probs is obtained with stats from limited
  tests. The statistic model for constrained token nodes has not
  been optimized. The probs for token extra bits have not been
  optimized. These can be future work.

  Certain coding improvment is observed :
  derflr with all experiments : +6.26% (+0.10%)
  screen_content with palette : +22.48% (+1.28%)

  Change-Id : I1c0d78178ee9f3655febb6f30cdaef8ee9f8e3cc