Java Voice Recognition

Java voice recognition for very small dictionary

The accuracy on such task must be 100%. Here is the code sample to use with the grammar:

public class TranscriberDemoGrammar {

    public static void main(String[] args) throws Exception {
        System.out.println("Loading models...");

        Configuration configuration = new Configuration();

        configuration.setAcousticModelPath("file:en-us-8khz");
        configuration.setDictionaryPath("cmu07a.dic");
        configuration.setGrammarPath("file:./");
        configuration.setGrammarName("digits");
        configuration.setUseGrammar(true);

        StreamSpeechRecognizer recognizer =
            new StreamSpeechRecognizer(configuration);
        InputStream stream = new FileInputStream(new File("file.wav"));
        recognizer.startRecognition(stream);

        SpeechResult result;

        while ((result = recognizer.getResult()) != null) {

            System.out.format("Hypothesis: %s\n",
                              result.getHypothesis());
            }

        recognizer.stopRecognition();
    }
}

You also need to make sure that both sample rate and audio bandwidth matches the decoder configuration

http://cmusphinx.sourceforge.net/wiki/faq#qwhat_is_sample_rate_and_how_does_it_affect_accuracy

Use the microphone in java for speech recognition with VOSK

this code work correctly for me you can use this:

    public static void main(String[] args) {
    
    LibVosk.setLogLevel(LogLevel.DEBUG);
    
    AudioFormat format = new AudioFormat(AudioFormat.Encoding.PCM_SIGNED, 60000, 16, 2, 4, 44100, false);
    DataLine.Info info = new DataLine.Info(TargetDataLine.class, format);
    TargetDataLine microphone;
    SourceDataLine speakers;

    try (Model model = new Model("model");
         Recognizer recognizer = new Recognizer(model, 120000)) {
        try {

            microphone = (TargetDataLine) AudioSystem.getLine(info);
            microphone.open(format);
            microphone.start();

            ByteArrayOutputStream out = new ByteArrayOutputStream();
            int numBytesRead;
            int CHUNK_SIZE = 1024;
            int bytesRead = 0;

            DataLine.Info dataLineInfo = new DataLine.Info(SourceDataLine.class, format);
            speakers = (SourceDataLine) AudioSystem.getLine(dataLineInfo);
            speakers.open(format);
            speakers.start();
            byte[] b = new byte[4096];

            while (bytesRead <= 100000000) {
                numBytesRead = microphone.read(b, 0, CHUNK_SIZE);
                bytesRead += numBytesRead;

                out.write(b, 0, numBytesRead);

                speakers.write(b, 0, numBytesRead);

                if (recognizer.acceptWaveForm(b, numBytesRead)) {
                    System.out.println(recognizer.getResult());
                } else {
                    System.out.println(recognizer.getPartialResult());
                }
            }
            System.out.println(recognizer.getFinalResult());
            speakers.drain();
            speakers.close();
            microphone.close();
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

Getting started with Speech Recognition and Sphinx

Make sure to inspect the file carefully. According to the docs your file must be either 8khz or 16khz and mono only. There are many tools available to do this -- I use audacity, but probably overkill for just a basic conversion like this.

Search Data by voice recognition instead of typing in text box

Voice recognition is itself a big industry, someone can speak in native language, others can say two zero one or two hundred one and many other combinations.Again its an application - web based / mobile based / desktop based the API features will be according.

Is there an API for voice recognition of a person used for authentication

You can use this library to differentiate users on the basis of Audio Input, It works pretty well for me. https://github.com/amaurycrickx/recognito

implement Voice recognition for number detection in android

there are a few examples here on SO for offline speach recongnition. Check this und this. In the second one they are also talking about the google speech api which works since api level 23 offline. This are generell voice recongnition and here are someone that cuts out only the numbers of it.

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