use of com.google.cloud.speech.v1.RecognitionAudio in project google-cloud-java by GoogleCloudPlatform.
the class SpeechClientTest method syncRecognizeTest.
@Test
@SuppressWarnings("all")
public void syncRecognizeTest() {
SyncRecognizeResponse expectedResponse = SyncRecognizeResponse.newBuilder().build();
mockSpeech.addResponse(expectedResponse);
RecognitionConfig.AudioEncoding encoding = RecognitionConfig.AudioEncoding.FLAC;
int sampleRate = 44100;
RecognitionConfig config = RecognitionConfig.newBuilder().setEncoding(encoding).setSampleRate(sampleRate).build();
String uri = "gs://bucket_name/file_name.flac";
RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(uri).build();
SyncRecognizeResponse actualResponse = client.syncRecognize(config, audio);
Assert.assertEquals(expectedResponse, actualResponse);
List<GeneratedMessageV3> actualRequests = mockSpeech.getRequests();
Assert.assertEquals(1, actualRequests.size());
SyncRecognizeRequest actualRequest = (SyncRecognizeRequest) actualRequests.get(0);
Assert.assertEquals(config, actualRequest.getConfig());
Assert.assertEquals(audio, actualRequest.getAudio());
}
use of com.google.cloud.speech.v1.RecognitionAudio in project google-cloud-java by GoogleCloudPlatform.
the class SpeechClientTest method syncRecognizeExceptionTest.
@Test
@SuppressWarnings("all")
public void syncRecognizeExceptionTest() throws Exception {
StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT);
mockSpeech.addException(exception);
try {
RecognitionConfig.AudioEncoding encoding = RecognitionConfig.AudioEncoding.FLAC;
int sampleRate = 44100;
RecognitionConfig config = RecognitionConfig.newBuilder().setEncoding(encoding).setSampleRate(sampleRate).build();
String uri = "gs://bucket_name/file_name.flac";
RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(uri).build();
client.syncRecognize(config, audio);
Assert.fail("No exception raised");
} catch (ApiException e) {
Assert.assertEquals(Status.INVALID_ARGUMENT.getCode(), e.getStatusCode());
}
}
use of com.google.cloud.speech.v1.RecognitionAudio in project google-cloud-java by GoogleCloudPlatform.
the class SpeechClientTest method longRunningRecognizeTest.
@Test
@SuppressWarnings("all")
public void longRunningRecognizeTest() throws Exception {
LongRunningRecognizeResponse expectedResponse = LongRunningRecognizeResponse.newBuilder().build();
Operation resultOperation = Operation.newBuilder().setName("longRunningRecognizeTest").setDone(true).setResponse(Any.pack(expectedResponse)).build();
mockSpeech.addResponse(resultOperation);
RecognitionConfig.AudioEncoding encoding = RecognitionConfig.AudioEncoding.FLAC;
int sampleRateHertz = 44100;
String languageCode = "en-US";
RecognitionConfig config = RecognitionConfig.newBuilder().setEncoding(encoding).setSampleRateHertz(sampleRateHertz).setLanguageCode(languageCode).build();
String uri = "gs://bucket_name/file_name.flac";
RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(uri).build();
LongRunningRecognizeResponse actualResponse = client.longRunningRecognizeAsync(config, audio).get();
Assert.assertEquals(expectedResponse, actualResponse);
List<GeneratedMessageV3> actualRequests = mockSpeech.getRequests();
Assert.assertEquals(1, actualRequests.size());
LongRunningRecognizeRequest actualRequest = (LongRunningRecognizeRequest) actualRequests.get(0);
Assert.assertEquals(config, actualRequest.getConfig());
Assert.assertEquals(audio, actualRequest.getAudio());
}
use of com.google.cloud.speech.v1.RecognitionAudio 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]
}
use of com.google.cloud.speech.v1.RecognitionAudio 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);
}
}
}
}
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