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• Firefox audio tag doubles length of OGG Vorbis

  22 mai 2014, par tomysshadow

  So, here I have a demo file from my website

  http://members.shaw.ca/darolynk/breakup/html5game/snd_music.ogg

  I am running off of Firefox Beta 30.0 and this issue does not persist in Google Chrome. In Firefox, when I play the file back, the length is displayed at around twice of its actual length as 32:13 when it is only 12:52 in length. Even worse, the audio stutters, playing one second of noise, one second of silence. This issue is not persistent in Chrome nor Opera. It is not a streaming issue (the song is streamed by the time it is played back in fact).

  I am wondering if this is an issue with the codec or with Firefox’s intrepretation of the codec, but more importantly, I want to know how to fix it. Some information about the file : the file is in OGG Vorbis format, 44100 Hz, 32 kbps Mono (yes, I am running out of storage space). It was encoded with SUPER, which in turn uses FFMpeg and MEncoder as necessary.

  This does not apply to all files of this format, making the issue even stranger. Are OGG Vorbis files over a certain length not allowed or interpreted differently by Firefox ? This must be the case for someone else and not just me...

  Any help is appreciated, thanks in advance !

• Stream specifier '' in filtergraph description [0][1]concat=a=1:n=1:v=1[s0] matches no streams

  9 août 2020, par Tanmoy Bhowmick

  i am trying to concatenate two audio files in django with ffmpeg but getting this error Stream specifier '' in filtergraph description [0][1]concat=a=1:n=1:v=1[s0] matches no streams.`

  


  here is my function

  


  def audiomarge(request):
    recorded_audio = request.FILES['audio']
    new = tempSong(tempSongFile=recorded_audio)
    new.tempSongFile.name = 'test.wav'
    new.save()
    record_file_path = new.tempSongFile.path
    record_file_path = str(record_file_path)
    recorded_audio = request.POST.get('audio')
    songslug = request.POST.get('songslug')
    current_song = Song.objects.filter(slug=songslug)[0]
    current_song_path = current_song.songFile.url 
    current_song_path = '.'+(str(current_song_path))
    
    input_first = ffmpeg.input(current_song_path)
    input_second = ffmpeg.input(record_file_path)


    ffmpeg.concat(input_first, input_second, v=1, a=1).output('./finished_video.wav').run()
    return HttpResponse('okay')


  


  i have also tried .compile() instead of .run() in this case nothing is happening

  


• tf.contrib.signal.stft returns an empty matrix

  9 décembre 2017, par matt-pielat

  This is the piece of code I run :

  import tensorflow as tf
  
  
  
  sess = tf.InteractiveSession()
  
  
  
  filename = 'song.mp3' # 30 second mp3 file
  
  SAMPLES_PER_SEC = 44100
  
  
  
  audio_binary = tf.read_file(filename)
  
  
  
  pcm = tf.contrib.ffmpeg.decode_audio(audio_binary, file_format='mp3', samples_per_second=SAMPLES_PER_SEC, channel_count = 1)
  
  stft = tf.contrib.signal.stft(pcm, frame_length=1024, frame_step=512, fft_length=1024)
  
  
  
  sess.close()

  The mp3 file is properly decoded because print(pcm.eval().shape) returns :

  (1323119, 1)

  And there are even some actual non-zero values when I print them with print(pcm.eval()[1000:1010]) :

  [[ 0.18793298]
  
   [ 0.16214484]
  
   [ 0.16022217]
  
   [ 0.15918455]
  
   [ 0.16428113]
  
   [ 0.19858395]
  
   [ 0.22861415]
  
   [ 0.2347789 ]
  
   [ 0.22684409]
  
   [ 0.20728172]]

  But for some reason print(stft.eval().shape) evaluates to :

  (1323119, 0, 513) # why the zero dimension?

  And therefore print(stft.eval()) is :

  []

  According to this the second dimension of the tf.contrib.signal.stft output is equal to the number of frames. Why are there no frames though ?