Examples with SpeechRecognitionResults com.ibm.watson.speech_to_text.v1.model.SpeechRecognitionResults used on opensource projects

Example 6 with SpeechRecognitionResults

use of com.ibm.watson.speech_to_text.v1.model.SpeechRecognitionResults in project java-sdk by watson-developer-cloud.

the class MicrophoneWithWebSocketsExample method main.

/**
 * The main method.
 *
 * @param args the arguments
 * @throws Exception the exception
 */
public static void main(final String[] args) throws Exception {
    SpeechToText service = new SpeechToText();
    service.setUsernameAndPassword("<username>", "<password>");
    // Signed PCM AudioFormat with 16kHz, 16 bit sample size, mono
    int sampleRate = 16000;
    AudioFormat format = new AudioFormat(sampleRate, 16, 1, true, false);
    DataLine.Info info = new DataLine.Info(TargetDataLine.class, format);
    if (!AudioSystem.isLineSupported(info)) {
        System.out.println("Line not supported");
        System.exit(0);
    }
    TargetDataLine line = (TargetDataLine) AudioSystem.getLine(info);
    line.open(format);
    line.start();
    AudioInputStream audio = new AudioInputStream(line);
    RecognizeOptions options = new RecognizeOptions.Builder().audio(audio).interimResults(true).timestamps(true).wordConfidence(true).contentType(HttpMediaType.AUDIO_RAW + ";rate=" + sampleRate).build();
    service.recognizeUsingWebSocket(options, new BaseRecognizeCallback() {

        @Override
        public void onTranscription(SpeechRecognitionResults speechResults) {
            System.out.println(speechResults);
        }
    });
    System.out.println("Listening to your voice for the next 30s...");
    Thread.sleep(30 * 1000);
    // closing the WebSockets underlying InputStream will close the WebSocket itself.
    line.stop();
    line.close();
    System.out.println("Fin.");
}

Example 7 with SpeechRecognitionResults

use of com.ibm.watson.speech_to_text.v1.model.SpeechRecognitionResults in project java-sdk by watson-developer-cloud.

the class RecognizeUsingWebSocketsExample method main.

public static void main(String[] args) throws FileNotFoundException, InterruptedException {
    Authenticator authenticator = new IamAuthenticator("<iam_api_key>");
    SpeechToText service = new SpeechToText(authenticator);
    FileInputStream audio = new FileInputStream("src/test/resources/speech_to_text/sample1.wav");
    RecognizeWithWebsocketsOptions options = new RecognizeWithWebsocketsOptions.Builder().audio(audio).interimResults(true).contentType(HttpMediaType.AUDIO_WAV).build();
    service.recognizeUsingWebSocket(options, new BaseRecognizeCallback() {

        @Override
        public void onTranscription(SpeechRecognitionResults speechResults) {
            System.out.println(speechResults);
        }

        @Override
        public void onDisconnected() {
            lock.countDown();
        }
    });
    lock.await(1, TimeUnit.MINUTES);
}

Example 8 with SpeechRecognitionResults

use of com.ibm.watson.speech_to_text.v1.model.SpeechRecognitionResults in project java-sdk by watson-developer-cloud.

the class CustomizationExample method main.

/**
 * The main method.
 *
 * @param args the arguments
 * @throws InterruptedException the interrupted exception
 */
public static void main(String[] args) throws InterruptedException, FileNotFoundException {
    Authenticator authenticator = new IamAuthenticator("<iam_api_key>");
    SpeechToText service = new SpeechToText(authenticator);
    // Create language model
    CreateLanguageModelOptions createOptions = new CreateLanguageModelOptions.Builder().name("IEEE-permanent").baseModelName("en-US_BroadbandModel").description("My customization").build();
    LanguageModel myModel = service.createLanguageModel(createOptions).execute().getResult();
    String id = myModel.getCustomizationId();
    try {
        // Add a corpus file to the model
        AddCorpusOptions addOptions = new AddCorpusOptions.Builder().customizationId(id).corpusName("corpus-1").corpusFile(new File(CORPUS_FILE)).allowOverwrite(false).build();
        service.addCorpus(addOptions).execute().getResult();
        // Get corpus status
        GetCorpusOptions getOptions = new GetCorpusOptions.Builder().customizationId(id).corpusName("corpus-1").build();
        for (int x = 0; x < 30 && !service.getCorpus(getOptions).execute().getResult().getStatus().equals(Corpus.Status.ANALYZED); x++) {
            Thread.sleep(5000);
        }
        // Get all corpora
        ListCorporaOptions listCorporaOptions = new ListCorporaOptions.Builder().customizationId(id).build();
        Corpora corpora = service.listCorpora(listCorporaOptions).execute().getResult();
        System.out.println(corpora);
        // Get specific corpus
        Corpus corpus = service.getCorpus(getOptions).execute().getResult();
        System.out.println(corpus);
        // Now add some user words to the custom model
        service.addWord(new AddWordOptions.Builder().customizationId(id).wordName("IEEE").word("IEEE").displayAs("IEEE").addSoundsLike("I. triple E.").build()).execute();
        service.addWord(new AddWordOptions.Builder().customizationId(id).wordName("hhonors").word("hhonors").displayAs("IEEE").addSoundsLike("H. honors").addSoundsLike("Hilton honors").build()).execute();
        // Display all words in the words resource (OOVs from the corpus and
        // new words just added) in ascending alphabetical order
        ListWordsOptions listWordsAlphabeticalOptions = new ListWordsOptions.Builder().customizationId(id).wordType(ListWordsOptions.WordType.ALL).build();
        Words words = service.listWords(listWordsAlphabeticalOptions).execute().getResult();
        System.out.println("\nASCENDING ALPHABETICAL ORDER:");
        System.out.println(words);
        // Then display all words in the words resource in descending order
        // by count
        ListWordsOptions listWordsCountOptions = new ListWordsOptions.Builder().customizationId(id).wordType(ListWordsOptions.WordType.ALL).sort("-" + ListWordsOptions.Sort.COUNT).build();
        words = service.listWords(listWordsCountOptions).execute().getResult();
        System.out.println("\nDESCENDING ORDER BY COUNT:");
        System.out.println(words);
        // Now start training of the model
        TrainLanguageModelOptions trainOptions = new TrainLanguageModelOptions.Builder().customizationId(id).wordTypeToAdd(TrainLanguageModelOptions.WordTypeToAdd.ALL).build();
        service.trainLanguageModel(trainOptions).execute();
        for (int x = 0; x < 30 && !myModel.getStatus().equals(LanguageModel.Status.AVAILABLE); x++) {
            GetLanguageModelOptions getLanguageModelOptions = new GetLanguageModelOptions.Builder().customizationId(id).build();
            myModel = service.getLanguageModel(getLanguageModelOptions).execute().getResult();
            Thread.sleep(10000);
        }
        File audio = new File(AUDIO_FILE);
        RecognizeOptions recognizeOptionsWithModel = new RecognizeOptions.Builder().model(RecognizeOptions.Model.EN_US_BROADBANDMODEL).customizationId(id).audio(audio).contentType(HttpMediaType.AUDIO_WAV).build();
        RecognizeOptions recognizeOptionsWithoutModel = new RecognizeOptions.Builder().model(RecognizeOptions.Model.EN_US_BROADBANDMODEL).audio(audio).contentType(HttpMediaType.AUDIO_WAV).build();
        // First decode WITHOUT the custom model
        SpeechRecognitionResults transcript = service.recognize(recognizeOptionsWithoutModel).execute().getResult();
        System.out.println(transcript);
        // Now decode with the custom model
        transcript = service.recognize(recognizeOptionsWithModel).execute().getResult();
        System.out.println(transcript);
    } finally {
        DeleteLanguageModelOptions deleteOptions = new DeleteLanguageModelOptions.Builder().customizationId(id).build();
        service.deleteLanguageModel(deleteOptions).execute();
    }
}

Example 9 with SpeechRecognitionResults

use of com.ibm.watson.speech_to_text.v1.model.SpeechRecognitionResults in project java-sdk by watson-developer-cloud.

the class MicrophoneWithWebSocketsExample method main.

/**
 * The main method.
 *
 * @param args the arguments
 * @throws Exception the exception
 */
public static void main(final String[] args) throws Exception {
    Authenticator authenticator = new IamAuthenticator("<iam_api_key>");
    SpeechToText service = new SpeechToText(authenticator);
    // Signed PCM AudioFormat with 16kHz, 16 bit sample size, mono
    int sampleRate = 16000;
    AudioFormat format = new AudioFormat(sampleRate, 16, 1, true, false);
    DataLine.Info info = new DataLine.Info(TargetDataLine.class, format);
    if (!AudioSystem.isLineSupported(info)) {
        System.out.println("Line not supported");
        System.exit(0);
    }
    TargetDataLine line = (TargetDataLine) AudioSystem.getLine(info);
    line.open(format);
    line.start();
    AudioInputStream audio = new AudioInputStream(line);
    RecognizeWithWebsocketsOptions options = new RecognizeWithWebsocketsOptions.Builder().audio(audio).interimResults(true).timestamps(true).wordConfidence(true).contentType(HttpMediaType.AUDIO_RAW + ";rate=" + sampleRate).build();
    service.recognizeUsingWebSocket(options, new BaseRecognizeCallback() {

        @Override
        public void onTranscription(SpeechRecognitionResults speechResults) {
            System.out.println(speechResults);
        }
    });
    System.out.println("Listening to your voice for the next 30s...");
    Thread.sleep(30 * 1000);
    // closing the WebSockets underlying InputStream will close the WebSocket itself.
    line.stop();
    line.close();
    System.out.println("Fin.");
}

Example 10 with SpeechRecognitionResults

use of com.ibm.watson.speech_to_text.v1.model.SpeechRecognitionResults in project java-sdk by watson-developer-cloud.

the class SpeechToTextIT method testRecognizeFileString.

/**
 * Test recognize audio file.
 *
 * @throws FileNotFoundException the file not found exception
 */
@Test
public void testRecognizeFileString() throws FileNotFoundException {
    Long maxAlternatives = 3L;
    Float wordAlternativesThreshold = 0.8f;
    File audio = new File(SAMPLE_WAV);
    RecognizeOptions options = new RecognizeOptions.Builder().audio(audio).contentType(HttpMediaType.AUDIO_WAV).maxAlternatives(maxAlternatives).wordAlternativesThreshold(wordAlternativesThreshold).smartFormatting(true).build();
    SpeechRecognitionResults results = service.recognize(options).execute().getResult();
    assertNotNull(results.getResults().get(0).getAlternatives().get(0).getTranscript());
    assertTrue(results.getResults().get(0).getAlternatives().size() <= maxAlternatives);
    List<WordAlternativeResults> wordAlternatives = results.getResults().get(0).getWordAlternatives();
    for (WordAlternativeResults alternativeResults : wordAlternatives) {
        assertTrue(alternativeResults.getAlternatives().get(0).getConfidence() >= wordAlternativesThreshold);
    }
}