tor-browser

The Tor Browser
git clone https://git.dasho.dev/tor-browser.git
Log | Files | Refs | README | LICENSE

SpeechRecognition-phrases-manual.https.html (3825B)

      1 <!DOCTYPE html>
      2 <html lang="en">
      3 <meta name="timeout" content="long">
      4 <title>SpeechRecognition Phrases</title>
      5 
      6 <script src="/resources/testdriver.js"></script>
      7 <script src="/resources/testdriver-vendor.js"></script>
      8 <script src="/resources/testharness.js"></script>
      9 <script src="/resources/testharnessreport.js"></script>
     10 
     11 <script>
     12 async function getAudioTrackFromFile(filePath) {
     13    const audioContext = new AudioContext();
     14    const response = await fetch(filePath);
     15    const arrayBuffer = await response.arrayBuffer();
     16    const audioBuffer = await audioContext.decodeAudioData(arrayBuffer);
     17    const source = audioContext.createBufferSource();
     18    source.buffer = audioBuffer;
     19 
     20    const destination = audioContext.createMediaStreamDestination();
     21    source.connect(destination);
     22    source.start();
     23 
     24    return destination.stream.getAudioTracks()[0];
     25 }
     26 
     27 promise_test(async (t) => {
     28    window.SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
     29 
     30    // Install en-US for on-device speech recognition.
     31    const installOptions = { langs: ["en-US"], processLocally: true };
     32    const installPromise = test_driver.bless(
     33        "Install on-device en-US speech recognition",
     34        () => SpeechRecognition.install(installOptions)
     35    );
     36    assert_true(
     37        installPromise instanceof Promise,
     38        "SpeechRecognition.install() should return a Promise."
     39    );
     40    const installResult = await installPromise;
     41    assert_true(
     42        installResult,
     43        "SpeechRecognition.install() for en-US should resolve with true."
     44    );
     45 
     46    // Verify the audio track for recognition context exists.
     47    const audioTrack = await getAudioTrackFromFile("/media/recognition_context.mp3");
     48    assert_true(
     49        audioTrack instanceof MediaStreamTrack,
     50        "Audio track should be a valid MediaStreamTrack"
     51    );
     52 
     53    // Create the first speech recognition with a mode that does not support contextual biasing.
     54    // Note that this may vary between browsers in the future.
     55    const recognition1 = new SpeechRecognition();
     56    recognition1.processLocally = false;
     57    recognition1.lang = "en-US";
     58 
     59    recognition1.onerror = function(event) {
     60        assert_equals(
     61            event.error,
     62            "phrases-not-supported",
     63            "First speech recognition should throw a phrases-not-supported error"
     64        );
     65    };
     66 
     67    recognition1.phrases.push(new SpeechRecognitionPhrase("test", 1.0));
     68 
     69    // Create the second speech recognition with a mode that supports contextual biasing.
     70    const recognition2 = new SpeechRecognition();
     71    recognition2.processLocally = true;
     72    recognition2.lang = "en-US";
     73 
     74    // On-device speech recognition should not throw an error.
     75    recognition2.onerror = t.unreached_func("recognition2 should not error");
     76 
     77    recognition2.phrases = [
     78        new SpeechRecognitionPhrase("ASIC", 3.0),
     79        new SpeechRecognitionPhrase("FPGA", 3.0)
     80    ];
     81 
     82    const recognitionPromise = new Promise((resolve) => {
     83        recognition2.onresult = (event) => {
     84            const transcript = event.results[0][0].transcript;
     85            const words = transcript.toLowerCase().split(' ');
     86            // Resolve when the last word is "expectations".
     87            if (words.length > 0 && words[words.length - 1] === "expectations") {
     88                resolve(transcript);
     89            }
     90        };
     91    });
     92    recognition2.start(audioTrack);
     93 
     94    const transcript = await recognitionPromise;
     95    assert_equals(
     96        transcript.toLowerCase(),
     97        "the report confirmed that the asic's throughput and " +
     98        "the fpga's latency were both below expectations",
     99        "Second speech recognition should correctly recognize the phrases"
    100    );
    101 }, "SpeechRecognition should recognize speech with the given contextual information.");
    102 </script>
    103 </html>