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• Revision b50e518ab6 : Require webm when explicitly requested https://code.google.com/p/webm/issues/de

  31 janvier 2015, par Johann

  Changed Paths :
   Modify /vpxenc.c

  
  
  Require webm when explicitly requested

  https://code.google.com/p/webm/issues/detail?id=906

  Change-Id : I72841078ff81152d21d84ccf4d5548e757685a6d

• Convert mediarecorder blobs to a type that google speech to text can transcribe

  5 janvier 2021, par Manesha Ramesh

  I am making an app where the user browser records the user speaking and sends it to the server which then passes it on to the Google speech to the text interface. I am using mediaRecorder to get 1-second blobs which are sent to a server. On the server-side, I send these blobs over to the Google speech to the text interface. However, I am getting an empty transcriptions.

  



  I know what the issue is. Mediarecorder's default Mime Type id audio/WebM codec=opus, which is not accepted by google's speech to text API. After doing some research, I realize I need to use ffmpeg to convert blobs to LInear16. However, ffmpeg only accepts audio FILES and I want to be able to convert BLOBS. Then I can send the resulting converted blobs over to the API interface.

  



  server.js

  



  wsserver.on('connection', socket => {
    console.log("Listening on port 3002")
    audio = {
        content: null
    }
  socket.on('message',function(message){
        // const buffer = new Int16Array(message, 0, Math.floor(data.byteLength / 2));
        // console.log(`received from a client: ${new Uint8Array(message)}`);
        // console.log(message);
        audio.content = message.toString('base64')
        console.log(audio.content);
        livetranscriber.createRequest(audio).then(request => {
            livetranscriber.recognizeStream(request);
        });


  });
});


  



  livetranscriber

  



  module.exports = {
    createRequest: function(audio){
        const encoding = 'LINEAR16';
const sampleRateHertz = 16000;
const languageCode = 'en-US';
        return new Promise((resolve, reject, err) =>{
            if (err){
                reject(err)
            }
            else{
                const request = {
                    audio: audio,
                    config: {
                      encoding: encoding,
                      sampleRateHertz: sampleRateHertz,
                      languageCode: languageCode,
                    },
                    interimResults: false, // If you want interim results, set this to true
                  };
                  resolve(request);
            }
        });

    },
    recognizeStream: async function(request){
        const [response] = await client.recognize(request)
        const transcription = response.results
            .map(result => result.alternatives[0].transcript)
            .join('\n');
        console.log(`Transcription: ${transcription}`);
        // console.log(message);
        // message.pipe(recognizeStream);
    },

}


  



  client

  



   recorder.ondataavailable = function(e) {
            console.log('Data', e.data);

            var ws = new WebSocket('ws://localhost:3002/websocket');
            ws.onopen = function() {
              console.log("opening connection");

              // const stream = websocketStream(ws)
              // const duplex = WebSocket.createWebSocketStream(ws, { encoding: 'utf8' });
              var blob = new Blob(e, { 'type' : 'audio/wav; base64' });
              ws.send(blob.data);
              // e.data).pipe(stream); 
              // console.log(e.data);
              console.log("Sent the message")
            };

            // chunks.push(e.data);
            // socket.emit('data', e.data);
        }


  


• Audio/video out of sync after Google Cloud Transcoding

  18 mai 2021, par Renov Jung

  I have been using Google Cloud Transcoding to convert video into HLS.
There are only few videos out of audio sync after the transcoding.
The Audio is behind +1 2 seconds.
The jobConfig looks no problem to me. So, I have no idea how to solve it or even what is causing the trouble from jobConfig setting.

  


  jobConfig :

  


  job: {
    inputUri: 'gs://' + BUCKET_NAME + '/' + inputPath,
    outputUri: 'gs://' + BUCKET_NAME + '/videos/' + outputName + '/',
    templateId: 'preset/web-hd',
    config: {
      elementaryStreams: [
        {
          key: 'video-stream0',
          videoStream: {
            codec: 'h264',
            widthPixels: 360,
            bitrateBps: 1000000,
            frameRate: 60,
          },
        },
        {
          key: 'video-stream1',
          videoStream: {
            codec: 'h264',
            widthPixels: 720,
            bitrateBps: 2000000,
            frameRate: 60,
          },
        },
        {
          key: 'audio-stream0',
          audioStream: {
            codec: 'aac',
            bitrateBps: 64000,
          },
        },
      ],
      muxStreams: [
        {
          key: 'hls_540p',
          container: 'ts',
          segmentSettings: {
            "individualSegments": true
          },
          elementaryStreams: ['video-stream0', 'audio-stream0'],
        },
         {
           key: 'hls2_720p',
           container: 'ts',
           segmentSettings: {
             "individualSegments": true
           },
           elementaryStreams: ['video-stream1', 'audio-stream0'],
         },
      ],
      manifests: [
        {
          "type": "HLS",
          "muxStreams": [
            "hls_540p", "hls2_720p"
          ]
        },
      ],
    },
  },


  


  Before transcoding video :

  


  

  • https://storage.googleapis.com/greyd/video/1621244451071_7aa8b5358afe8c5690e3bf8e67c69a52.mp4

  


  


  After transcoding video :

  


  

  • https://storage.googleapis.com/greyd/videos/60a23a2a1fd9a72f9d721cef/manifest.m3u8