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• Flash media server invalid mp4

  19 décembre 2012, par Ben Ford

  I have an MP4 file that was ripped from a DVD containing chapters using handbrake.
  I've then used ffmpeg to convert that rip into seperate mp4 files for dynamic streaming with Adobe's Flash Media Server.

  I have used exactly the same ffmpeg parameters before and had no problem. However this time, I get output from ffmpeg :

  max_analyze_duration reached

  The resulting files won't stream from FMS. There's no error in the FMS logs or web console.
  Are there any known reasons that FMS wouldn't stream files like this ?

  Or does anyone know of any other diagnostic tool to analyze what's going on within FMS ?

  Thanks
  Ben

• How to use Google's Cloud Speech-to-Text REST API to transcribe a video

  24 juillet 2018, par mrb

  I’d like to have the transcript of 2 people speaking in a video, but I get an empty response from the Cloud Speech-to-Text API

  Approach :

  I have a 56 minute video file containing a conversation between two people. I would like to have the transcript of that conversation, and I would like to use Google’s Cloud Speech-to-Text API to get that.

  To save a little on my Google Cloud Storage I converted to video to audio first by using mmpeg.

  First I’d tried to figure out the audio codec by using the command below, and it looks like AAC.
  ffmpeg -i video.mp4

  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'videoplayback.mp4':
  
    Metadata:
  
      major_brand     : mp42
  
      minor_version   : 0
  
      compatible_brands: isommp42
  
      creation_time   : 2015-12-30T08:17:14.000000Z
  
    Duration: 00:56:03.99, start: 0.000000, bitrate: 362 kb/s
  
      Stream #0:0(und): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), yuv420p, 490x360 [SAR 1:1 DAR 49:36], 264 kb/s,     29.97 fps, 29.97 tbr, 30k tbn, 59.94 tbc (default)
  
      Metadata:
  
        handler_name    : VideoHandler
  
      Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 96 kb/s (default)
  
      Metadata:
  
        creation_time   : 2015-12-30T08:17:31.000000Z
  
        handler_name    : IsoMedia File Produced by Google, 5-11-2011    

  So I took that from the video by using :
  ffmpeg -i video.mp4 -vn -acodec copy myaudio.aac

  Details so far :
  ffmpeg -i myaudio.aac
  Outputs :

  Input #0, aac, from 'myaudio.aac':
  
    Duration: 00:56:47.49, bitrate: 97 kb/s
  
      Stream #0:0: Audio: aac (LC), 44100 Hz, stereo, fltp, 97 kb/s

  After that I converted it to opus because I’m told that opus is better
  ffmpeg -i myaudio.aac -acodec libopus -b:a 97k -vbr on -compression_level 10 myaudio.opus

  Info so far :
  opusinfo myaudio.opus
  

  User comments section follows...
  
      encoder=Lavc58.18.100 libopus
  
  Opus stream 1:
  
      Pre-skip: 312
  
      Playback gain: 0 dB
  
      Channels: 2
  
      Original sample rate: 48000Hz
  
      Packet duration:   20.0ms (max),   20.0ms (avg),   20.0ms (min)
  
      Page duration:   1000.0ms (max), 1000.0ms (avg), 1000.0ms (min)
  
      Total data length: 29956714 bytes (overhead: 0.872%)
  
      Playback length: 56m:03.990s
  
      Average bitrate: 71.24 kb/s, w/o overhead: 70.62 kb/s

  I this point I uploaded the myaudio.opus to the Google Cloud Storage.

  curl POST 1
  I started the speech recognition by doing a POST with curl :

  curl --request POST  --header "Content-Type: application/json" --url 'https://speech.googleapis.com/v1/speech:longrunningrecognize?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}' --data '{"audio": {"uri": "gs://{MY_BUCKET}/myaudio.opus"},"config": {"encoding": "OGG_OPUS", "sampleRateHertz": 48000, "languageCode": "en-US"}}'

  Response : {"name": "123456789"}
  123456789 was not the actual value.

  curl GET 1
  Now I wanted to have the results :

  curl --request GET --url 'https://speech.googleapis.com/v1/operations/123456789?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}'

  This gave me the error : Error : Unable to recognize speech, possible error in encoding or channel config. Please correct the config and retry the request.

  So I updated the encoding configuration from OGG_OPUS to LINEAR16.

  curl POST 2
  Did the post again :

  curl --request POST  --header "Content-Type: application/json" --url 'https://speech.googleapis.com/v1/speech:longrunningrecognize?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}' --data '{"audio": {"uri": "gs://{MY_BUCKET}/myaudio.opus"},"config": {"encoding": "LINEAR16", "sampleRateHertz": 48000, "languageCode": "en-US"}}'

  Response : {"name": "987654321"}

  curl GET 2
  

  curl --request GET --url 'https://speech.googleapis.com/v1/operations/987654321?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}'

  Response :

  {
  
    "name": "987654321",
  
    "metadata": {
  
      "@type": "type.googleapis.com/google.cloud.speech.v1.LongRunningRecognizeMetadata",
  
      "progressPercent": 100,
  
      "startTime": "2018-06-08T11:01:24.596504Z",
  
      "lastUpdateTime": "2018-06-08T11:01:51.825882Z"
  
    },
  
    "done": true
  
  }

  The problem is that I don’t get the actual transcription. According the the documentation there should be a response key in the response containing the data.

  Since I’m kinda stuck here I’d like to know if I’m doing something completely wrong. I don’t have any technical or resource limitation so all suggestions are very welcome ! Also happy to change my approach.

  Thanks in advance ! Cheers

• How to use Google's Cloud Speech-to-Text API to transcribe a video using the REST API

  8 juin 2018, par mrb

  I’d like to have the transcript of 2 people speaking in a video, but I get an empty response from the Cloud Speech-to-Text API

  Approach :

  I have a 56 minute video file containing a conversation between two people. I would like to have the transcript of that conversation, and I would like to use Google’s Cloud Speech-to-Text API to get that.

  To save a little on my Google Cloud Storage I converted to video to audio first by using mmpeg.

  First I’d tried to figure out the audio codec by using the command below, and it looks like AAC.
  ffmpeg -i video.mp4

  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'videoplayback.mp4':
  
    Metadata:
  
      major_brand     : mp42
  
      minor_version   : 0
  
      compatible_brands: isommp42
  
      creation_time   : 2015-12-30T08:17:14.000000Z
  
    Duration: 00:56:03.99, start: 0.000000, bitrate: 362 kb/s
  
      Stream #0:0(und): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), yuv420p, 490x360 [SAR 1:1 DAR 49:36], 264 kb/s,     29.97 fps, 29.97 tbr, 30k tbn, 59.94 tbc (default)
  
      Metadata:
  
        handler_name    : VideoHandler
  
      Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 96 kb/s (default)
  
      Metadata:
  
        creation_time   : 2015-12-30T08:17:31.000000Z
  
        handler_name    : IsoMedia File Produced by Google, 5-11-2011    

  So I took that from the video by using :
  ffmpeg -i video.mp4 -vn -acodec copy myaudio.aac

  Details so far :
  ffmpeg -i myaudio.aac
  Outputs :

  Input #0, aac, from 'myaudio.aac':
  
    Duration: 00:56:47.49, bitrate: 97 kb/s
  
      Stream #0:0: Audio: aac (LC), 44100 Hz, stereo, fltp, 97 kb/s

  After that I converted it to opus because I’m told that opus is better
  ffmpeg -i myaudio.aac -acodec libopus -b:a 97k -vbr on -compression_level 10 myaudio.opus

  Info so far :
  opusinfo myaudio.opus
  

  User comments section follows...
  
      encoder=Lavc58.18.100 libopus
  
  Opus stream 1:
  
      Pre-skip: 312
  
      Playback gain: 0 dB
  
      Channels: 2
  
      Original sample rate: 48000Hz
  
      Packet duration:   20.0ms (max),   20.0ms (avg),   20.0ms (min)
  
      Page duration:   1000.0ms (max), 1000.0ms (avg), 1000.0ms (min)
  
      Total data length: 29956714 bytes (overhead: 0.872%)
  
      Playback length: 56m:03.990s
  
      Average bitrate: 71.24 kb/s, w/o overhead: 70.62 kb/s

  I this point I uploaded the myaudio.opus to the Google Cloud Storage.

  curl POST 1
  I started the speech recognition by doing a POST with curl :

  curl --request POST  --header "Content-Type: application/json" --url 'https://speech.googleapis.com/v1/speech:longrunningrecognize?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}' --data '{"audio": {"uri": "gs://{MY_BUCKET}/myaudio.opus"},"config": {"encoding": "OGG_OPUS", "sampleRateHertz": 48000, "languageCode": "en-US"}}'

  Response : {"name": "123456789"}
  123456789 was not the actual value.

  curl GET 1
  Now I wanted to have the results :

  curl --request GET --url 'https://speech.googleapis.com/v1/operations/123456789?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}'

  This gave me the error : Error : Unable to recognize speech, possible error in encoding or channel config. Please correct the config and retry the request.

  So I updated the encoding configuration from OGG_OPUS to LINEAR16.

  curl POST 2
  Did the post again :

  curl --request POST  --header "Content-Type: application/json" --url 'https://speech.googleapis.com/v1/speech:longrunningrecognize?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}' --data '{"audio": {"uri": "gs://{MY_BUCKET}/myaudio.opus"},"config": {"encoding": "LINEAR16", "sampleRateHertz": 48000, "languageCode": "en-US"}}'

  Response : {"name": "987654321"}

  curl GET 2
  

  curl --request GET --url 'https://speech.googleapis.com/v1/operations/987654321?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}'

  Response :

  {
  
    "name": "987654321",
  
    "metadata": {
  
      "@type": "type.googleapis.com/google.cloud.speech.v1.LongRunningRecognizeMetadata",
  
      "progressPercent": 100,
  
      "startTime": "2018-06-08T11:01:24.596504Z",
  
      "lastUpdateTime": "2018-06-08T11:01:51.825882Z"
  
    },
  
    "done": true
  
  }

  The problem is that I don’t get the actual transcription. According the the documentation there should be a response key in the response containing the data.

  Since I’m kinda stuck here I’d like to know if I’m doing something completely wrong. I don’t have any technical or resource limitation so all suggestions are very welcome ! Also happy to change my approach.

  Thanks in advance ! Cheers