Examples with SpeechRecognitionResult com.google.assistant.embedded.v1alpha2.SpeechRecognitionResult used on opensource projects

Example 6 with SpeechRecognitionResult

use of com.google.assistant.embedded.v1alpha2.SpeechRecognitionResult in project google-cloud-java by GoogleCloudPlatform.

the class RecognizeSpeech method main.

public static void main(String... args) throws Exception {
    // Instantiates a client
    SpeechClient speech = SpeechClient.create();
    // The path to the audio file to transcribe
    // for example "./resources/audio.raw";
    String fileName = "your/speech/audio/file.raw";
    // Reads the audio file into memory
    Path path = Paths.get(fileName);
    byte[] data = Files.readAllBytes(path);
    ByteString audioBytes = ByteString.copyFrom(data);
    // Builds the sync recognize request
    RecognitionConfig config = RecognitionConfig.newBuilder().setEncoding(AudioEncoding.LINEAR16).setSampleRateHertz(16000).setLanguageCode("en-US").build();
    RecognitionAudio audio = RecognitionAudio.newBuilder().setContent(audioBytes).build();
    // Performs speech recognition on the audio file
    RecognizeResponse response = speech.recognize(config, audio);
    List<SpeechRecognitionResult> results = response.getResultsList();
    for (SpeechRecognitionResult result : results) {
        List<SpeechRecognitionAlternative> alternatives = result.getAlternativesList();
        for (SpeechRecognitionAlternative alternative : alternatives) {
            System.out.printf("Transcription: %s%n", alternative.getTranscript());
        }
    }
    speech.close();
}

Example 7 with SpeechRecognitionResult

use of com.google.assistant.embedded.v1alpha2.SpeechRecognitionResult in project java-docs-samples by GoogleCloudPlatform.

the class Recognize method transcribeModelSelection.

// [START speech_transcribe_model_selection]
/**
 * Performs transcription of the given audio file synchronously with
 * the selected model.
 * @param fileName the path to a audio file to transcribe
 */
public static void transcribeModelSelection(String fileName) throws Exception {
    Path path = Paths.get(fileName);
    byte[] content = Files.readAllBytes(path);
    try (SpeechClient speech = SpeechClient.create()) {
        // Configure request with video media type
        RecognitionConfig recConfig = RecognitionConfig.newBuilder().setEncoding(AudioEncoding.LINEAR16).setLanguageCode("en-US").setSampleRateHertz(16000).setModel("video").build();
        RecognitionAudio recognitionAudio = RecognitionAudio.newBuilder().setContent(ByteString.copyFrom(content)).build();
        RecognizeResponse recognizeResponse = speech.recognize(recConfig, recognitionAudio);
        // Just print the first result here.
        SpeechRecognitionResult result = recognizeResponse.getResultsList().get(0);
        // There can be several alternative transcripts for a given chunk of speech. Just use the
        // first (most likely) one here.
        SpeechRecognitionAlternative alternative = result.getAlternativesList().get(0);
        System.out.printf("Transcript : %s\n", alternative.getTranscript());
    }
// [END speech_transcribe_model_selection]
}

Example 8 with SpeechRecognitionResult

use of com.google.assistant.embedded.v1alpha2.SpeechRecognitionResult in project java-docs-samples by GoogleCloudPlatform.

the class Recognize method syncRecognizeWords.

/**
 * Performs sync recognize and prints word time offsets.
 *
 * @param fileName the path to a PCM audio file to transcribe get offsets on.
 */
public static void syncRecognizeWords(String fileName) throws Exception {
    try (SpeechClient speech = SpeechClient.create()) {
        Path path = Paths.get(fileName);
        byte[] data = Files.readAllBytes(path);
        ByteString audioBytes = ByteString.copyFrom(data);
        // Configure request with local raw PCM audio
        RecognitionConfig config = RecognitionConfig.newBuilder().setEncoding(AudioEncoding.LINEAR16).setLanguageCode("en-US").setSampleRateHertz(16000).setEnableWordTimeOffsets(true).build();
        RecognitionAudio audio = RecognitionAudio.newBuilder().setContent(audioBytes).build();
        // Use blocking call to get audio transcript
        RecognizeResponse response = speech.recognize(config, audio);
        List<SpeechRecognitionResult> results = response.getResultsList();
        for (SpeechRecognitionResult result : results) {
            // There can be several alternative transcripts for a given chunk of speech. Just use the
            // first (most likely) one here.
            SpeechRecognitionAlternative alternative = result.getAlternativesList().get(0);
            System.out.printf("Transcription: %s%n", alternative.getTranscript());
            for (WordInfo wordInfo : alternative.getWordsList()) {
                System.out.println(wordInfo.getWord());
                System.out.printf("\t%s.%s sec - %s.%s sec\n", wordInfo.getStartTime().getSeconds(), wordInfo.getStartTime().getNanos() / 100000000, wordInfo.getEndTime().getSeconds(), wordInfo.getEndTime().getNanos() / 100000000);
            }
        }
    }
}

Example 9 with SpeechRecognitionResult

use of com.google.assistant.embedded.v1alpha2.SpeechRecognitionResult in project java-docs-samples by GoogleCloudPlatform.

the class Recognize method asyncRecognizeFile.

/**
 * Performs non-blocking speech recognition on raw PCM audio and prints
 * the transcription. Note that transcription is limited to 60 seconds audio.
 *
 * @param fileName the path to a PCM audio file to transcribe.
 */
public static void asyncRecognizeFile(String fileName) throws Exception {
    // Instantiates a client with GOOGLE_APPLICATION_CREDENTIALS
    try (SpeechClient speech = SpeechClient.create()) {
        Path path = Paths.get(fileName);
        byte[] data = Files.readAllBytes(path);
        ByteString audioBytes = ByteString.copyFrom(data);
        // Configure request with local raw PCM audio
        RecognitionConfig config = RecognitionConfig.newBuilder().setEncoding(AudioEncoding.LINEAR16).setLanguageCode("en-US").setSampleRateHertz(16000).build();
        RecognitionAudio audio = RecognitionAudio.newBuilder().setContent(audioBytes).build();
        // Use non-blocking call for getting file transcription
        OperationFuture<LongRunningRecognizeResponse, LongRunningRecognizeMetadata> response = speech.longRunningRecognizeAsync(config, audio);
        while (!response.isDone()) {
            System.out.println("Waiting for response...");
            Thread.sleep(10000);
        }
        List<SpeechRecognitionResult> results = response.get().getResultsList();
        for (SpeechRecognitionResult result : results) {
            // There can be several alternative transcripts for a given chunk of speech. Just use the
            // first (most likely) one here.
            SpeechRecognitionAlternative alternative = result.getAlternativesList().get(0);
            System.out.printf("Transcription: %s%n", alternative.getTranscript());
        }
    }
}

Example 10 with SpeechRecognitionResult

use of com.google.assistant.embedded.v1alpha2.SpeechRecognitionResult in project java-docs-samples by GoogleCloudPlatform.

the class Recognize method syncRecognizeGcs.

/**
 * Performs speech recognition on remote FLAC file and prints the transcription.
 *
 * @param gcsUri the path to the remote FLAC audio file to transcribe.
 */
public static void syncRecognizeGcs(String gcsUri) throws Exception {
    // Instantiates a client with GOOGLE_APPLICATION_CREDENTIALS
    try (SpeechClient speech = SpeechClient.create()) {
        // Builds the request for remote FLAC file
        RecognitionConfig config = RecognitionConfig.newBuilder().setEncoding(AudioEncoding.FLAC).setLanguageCode("en-US").setSampleRateHertz(16000).build();
        RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(gcsUri).build();
        // Use blocking call for getting audio transcript
        RecognizeResponse response = speech.recognize(config, audio);
        List<SpeechRecognitionResult> results = response.getResultsList();
        for (SpeechRecognitionResult result : results) {
            // There can be several alternative transcripts for a given chunk of speech. Just use the
            // first (most likely) one here.
            SpeechRecognitionAlternative alternative = result.getAlternativesList().get(0);
            System.out.printf("Transcription: %s%n", alternative.getTranscript());
        }
    }
}