Package edu.cmu.sphinx.frontend.endpoint

Examples of edu.cmu.sphinx.frontend.endpoint.SpeechEndSignal

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        bufferProc.processDataFrame(new SpeechStartSignal());
        for (DoubleData doubleData : RandomDataProcessor.createFeatVectors(3, 16000, 1000, 39, 10))
            bufferProc.processDataFrame(doubleData);

        bufferProc.processDataFrame(new SpeechEndSignal());
        for (DoubleData doubleData : RandomDataProcessor.createFeatVectors(5, 16000, 2000, 39, 10))
            bufferProc.processDataFrame(doubleData);

        bufferProc.processDataFrame(new DataEndSignal(123));
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        input.add(new DataStartSignal(sampleRate));

        input.addAll(createFeatVectors(1, sampleRate, 0, 10, 10)); // create one second of data sampled with 1kHz
        input.add(new SpeechStartSignal(-1));
        input.addAll(createFeatVectors(0.5, sampleRate, 0, 10, 10));
        input.add(new SpeechEndSignal(-1));
        input.addAll(createFeatVectors(1, sampleRate, 0, 10, 10));

        input.add(new DataEndSignal(0));

        List<Data> result = collectOutput(ConfigurationManager.getInstance(NonSpeechDataFilter.class));
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        input.addAll(createFeatVectors(0.1, sampleRate, 0, 10, 10)); // create one second of data sampled with 1kHz

        input.add(new SpeechStartSignal(-1));
        input.addAll(createFeatVectors(0.1, sampleRate, 0, 10, 10));
        input.add(new SpeechEndSignal(-1));

        input.addAll(createFeatVectors(0.1, sampleRate, 0, 10, 10));

        input.add(new SpeechStartSignal(-1));
        input.addAll(createFeatVectors(0.1, sampleRate, 0, 10, 10));
        input.add(new SpeechEndSignal(-1));

        input.addAll(createFeatVectors(0.1, sampleRate, 0, 10, 10));

        input.add(new DataEndSignal(0));
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        input.add(new DataEndSignal(sampleRate));

        // process a segment which contains a speech segment which is empty
        input.add(new DataStartSignal(sampleRate));
        input.add(new SpeechStartSignal(-1));
        input.add(new SpeechEndSignal(-1));
        input.add(new DataEndSignal(sampleRate));

        // process a segment which contains a speech segment which is empty but has some non-speech data around it
        input.add(new DataStartSignal(sampleRate));
        input.addAll(createFeatVectors(1, sampleRate, 0, 10, 10)); // create one second of data sampled with 1kHz
        input.add(new SpeechStartSignal(-1));
        input.add(new SpeechEndSignal(-1));
        input.addAll(createFeatVectors(1, sampleRate, 0, 10, 10)); // create one second of data sampled with 1kHz
        input.add(new DataEndSignal(sampleRate));

        // and now a some real segments
        input.add(new DataStartSignal(sampleRate));
        input.add(new SpeechStartSignal(-1));
        input.addAll(createFeatVectors(0.1, sampleRate, 0, 10, 10));
        input.add(new SpeechEndSignal(-1));
        input.add(new DataEndSignal(sampleRate));


        List<Data> result = collectOutput(ConfigurationManager.getInstance(NonSpeechDataFilter.class));
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Related Classes of edu.cmu.sphinx.frontend.endpoint.SpeechEndSignal

  • edu.cmu.sphinx.decoder.scorer.ScorerTests
  • edu.cmu.sphinx.frontend.NonSpeechDataFilterTest
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