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Access microphone from a browser - Javascript

Is it possible to access the microphone (built-in or auxiliary) from a browser using client-side JavaScript?

Ideally, it would store the recorded audio in the browser. Thanks!

like image 333
chris_aych Avatar asked Jan 08 '15 17:01

chris_aych


People also ask

Can Javascript access microphone?

Yes you can. Using the getUserMedia() API, you can capture raw audio input from your microphone.

How do I request access to my microphone?

Allow access to microphone and camera on Android devicesSelect 'Settings > Apps > LINE WORKS' on your device. Select 'Permissions' in App info. Allow access to 'Microphone', 'Phone', and 'Camera'.


1 Answers

Here we capture microphone audio as a Web Audio API event loop buffer using getUserMedia() ... time domain and frequency domain snippets of each audio event loop buffer are printed (viewable in browser console just hit key F12 or ctrl+shift+i )

<html><head><meta http-equiv="Content-Type" content="text/html; charset=ISO-8859-1">
<title>capture microphone audio into buffer</title>

<script type="text/javascript">


  var webaudio_tooling_obj = function () {

    var audioContext = new AudioContext();

    console.log("audio is starting up ...");

    var BUFF_SIZE = 16384;

    var audioInput = null,
        microphone_stream = null,
        gain_node = null,
        script_processor_node = null,
        script_processor_fft_node = null,
        analyserNode = null;

    if (!navigator.getUserMedia)
            navigator.getUserMedia = navigator.getUserMedia || navigator.webkitGetUserMedia ||
                          navigator.mozGetUserMedia || navigator.msGetUserMedia;

    if (navigator.getUserMedia){

        navigator.getUserMedia({audio:true}, 
          function(stream) {
              start_microphone(stream);
          },
          function(e) {
            alert('Error capturing audio.');
          }
        );

    } else { alert('getUserMedia not supported in this browser.'); }

    // ---

    function show_some_data(given_typed_array, num_row_to_display, label) {

        var size_buffer = given_typed_array.length;
        var index = 0;
        var max_index = num_row_to_display;

        console.log("__________ " + label);

        for (; index < max_index && index < size_buffer; index += 1) {

            console.log(given_typed_array[index]);
        }
    }

    function process_microphone_buffer(event) { // invoked by event loop

        var i, N, inp, microphone_output_buffer;

        microphone_output_buffer = event.inputBuffer.getChannelData(0); // just mono - 1 channel for now

        // microphone_output_buffer  <-- this buffer contains current gulp of data size BUFF_SIZE

        show_some_data(microphone_output_buffer, 5, "from getChannelData");
    }

    function start_microphone(stream){

      gain_node = audioContext.createGain();
      gain_node.connect( audioContext.destination );

      microphone_stream = audioContext.createMediaStreamSource(stream);
      microphone_stream.connect(gain_node); 

      script_processor_node = audioContext.createScriptProcessor(BUFF_SIZE, 1, 1);
      script_processor_node.onaudioprocess = process_microphone_buffer;

      microphone_stream.connect(script_processor_node);

      // --- enable volume control for output speakers

      document.getElementById('volume').addEventListener('change', function() {

          var curr_volume = this.value;
          gain_node.gain.value = curr_volume;

          console.log("curr_volume ", curr_volume);
      });

      // --- setup FFT

      script_processor_fft_node = audioContext.createScriptProcessor(2048, 1, 1);
      script_processor_fft_node.connect(gain_node);

      analyserNode = audioContext.createAnalyser();
      analyserNode.smoothingTimeConstant = 0;
      analyserNode.fftSize = 2048;

      microphone_stream.connect(analyserNode);

      analyserNode.connect(script_processor_fft_node);

      script_processor_fft_node.onaudioprocess = function() {

        // get the average for the first channel
        var array = new Uint8Array(analyserNode.frequencyBinCount);
        analyserNode.getByteFrequencyData(array);

        // draw the spectrogram
        if (microphone_stream.playbackState == microphone_stream.PLAYING_STATE) {

            show_some_data(array, 5, "from fft");
        }
      };
    }

  }(); //  webaudio_tooling_obj = function()



</script>

</head>
<body>

    <p>Volume</p>
    <input id="volume" type="range" min="0" max="1" step="0.1" value="0.5"/>

</body>
</html>

Since this code exposes microphone data as a buffer you could add ability to stream using websockets or simply aggregate each event loop buffer into a monster buffer then download the monster to a file

Notice the call to

    var audioContext = new AudioContext();

which indicates its using the Web Audio API which is baked into all modern browsers (including mobile browsers) to provide an extremely powerful audio platform of which tapping into the mic is but a tiny fragment ... NOTE the CPU usage jumps up due to this demo writing each event loop buffer into browser console log which is for testing only so actual use is far less resource intensive even when you mod this to stream audio to elsewhere

Links to some Web Audio API documentation

  • Basic concepts behind Web Audio API
  • SO wiki on Web Audio API
  • nice Web Audio API demos ... some with github links
like image 67
Scott Stensland Avatar answered Oct 06 '22 15:10

Scott Stensland