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• aacenc : Fix target bitrate for twoloop quantiser search

  4 mai 2013, par Claudio Freire

  aacenc : Fix target bitrate for twoloop quantiser search
  This fixes a case where multichannel bitrate isn’t accurately
  
  targetted by psy model alone, never achieving the target bitrate.
  Signed-off-by : Martin Storsjö <martin@martin.st>
  

  • [DBH] libavcodec/aaccoder.c

• 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();