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• MOOV atom not found - is there a way how to extract the audio from corrupted mp4 ?

  25 janvier 2021, par JZK

  I'm trying to recover mp4 video file. Having a video would be nice, having an audio is crucial.
I've recorded the fottage with LG v30 which has some kind of HQ audio, therefore normal recovery software is unable to recover it (video was recovered with ease).

  


  That's why I want to try different approach - separate audio from video already from an corrupted file.

  


  but, I'm hitting the "MOOV atom not found" problem, using FFmpeg command

  


  ffmpeg -i sample.avi -q:a 0 -map a sample.mp3


  


  Please help me. Thank you

  


• checkasm/arm : preserve the stack alignment checkasm_checked_call

  12 juillet 2016, par Janne Grunau

  checkasm/arm : preserve the stack alignment checkasm_checked_call
  The stack used by checkasm_checked_call_vfp was a multiple of 4 when the
  
  checked function is called. AAPCS requires a double word (8 byte)
  
  aligned stack public interfaces. Since both calls are public interfaces
  
  the stack is misaligned when the checked is called.
  Might fix the SIGBUS error in the armv7-linux-clang-3.7 fate config.
  

  • [DBH] tests/checkasm/arm/checkasm.S

• 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();