use of com.google.cloud.videointelligence.v1.SpeechRecognitionAlternative in project java-speech by googleapis.
the class SpeechTranscribeMultiRegion method speechTranscribeMultiRegion.
/**
* Transcribe a remote audio file with multi-channel recognition
*
* @param gcsUri the path to the audio file
*/
public static void speechTranscribeMultiRegion(String gcsUri) throws Exception {
// Use the SpeechSettings to initialize the SpeechClient with the new endpoint.
String endPoint = "eu-speech.googleapis.com:443";
SpeechSettings speechSettings = SpeechSettings.newBuilder().setEndpoint(endPoint).build();
// Instantiates a client with GOOGLE_APPLICATION_CREDENTIALS
try (SpeechClient speech = SpeechClient.create(speechSettings)) {
// Configure remote file request
RecognitionConfig config = RecognitionConfig.newBuilder().setEncoding(AudioEncoding.FLAC).setLanguageCode("en-US").setSampleRateHertz(16000).build();
// Set the remote path for the audio file
RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(gcsUri).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());
}
}
}
use of com.google.cloud.videointelligence.v1.SpeechRecognitionAlternative in project java-speech by googleapis.
the class TranscribeDiarization method transcribeDiarization.
// Transcribe the given audio file using speaker diarization.
static void transcribeDiarization(String fileName) throws IOException {
Path path = Paths.get(fileName);
byte[] content = Files.readAllBytes(path);
// the "close" method on the client to safely clean up any remaining background resources.
try (SpeechClient client = SpeechClient.create()) {
// Get the contents of the local audio file
RecognitionAudio recognitionAudio = RecognitionAudio.newBuilder().setContent(ByteString.copyFrom(content)).build();
SpeakerDiarizationConfig speakerDiarizationConfig = SpeakerDiarizationConfig.newBuilder().setEnableSpeakerDiarization(true).setMinSpeakerCount(2).setMaxSpeakerCount(2).build();
// Configure request to enable Speaker diarization
RecognitionConfig config = RecognitionConfig.newBuilder().setEncoding(RecognitionConfig.AudioEncoding.LINEAR16).setLanguageCode("en-US").setSampleRateHertz(8000).setDiarizationConfig(speakerDiarizationConfig).build();
// Perform the transcription request
RecognizeResponse recognizeResponse = client.recognize(config, recognitionAudio);
// Speaker Tags are only included in the last result object, which has only one alternative.
SpeechRecognitionAlternative alternative = recognizeResponse.getResults(recognizeResponse.getResultsCount() - 1).getAlternatives(0);
// The alternative is made up of WordInfo objects that contain the speaker_tag.
WordInfo wordInfo = alternative.getWords(0);
int currentSpeakerTag = wordInfo.getSpeakerTag();
// For each word, get all the words associated with one speaker, once the speaker changes,
// add a new line with the new speaker and their spoken words.
StringBuilder speakerWords = new StringBuilder(String.format("Speaker %d: %s", wordInfo.getSpeakerTag(), wordInfo.getWord()));
for (int i = 1; i < alternative.getWordsCount(); i++) {
wordInfo = alternative.getWords(i);
if (currentSpeakerTag == wordInfo.getSpeakerTag()) {
speakerWords.append(" ");
speakerWords.append(wordInfo.getWord());
} else {
speakerWords.append(String.format("\nSpeaker %d: %s", wordInfo.getSpeakerTag(), wordInfo.getWord()));
currentSpeakerTag = wordInfo.getSpeakerTag();
}
}
System.out.println(speakerWords.toString());
}
}
use of com.google.cloud.videointelligence.v1.SpeechRecognitionAlternative in project java-speech by googleapis.
the class TranscribeDiarizationGcs method transcribeDiarizationGcs.
// Transcribe the give gcs file using speaker diarization
public static void transcribeDiarizationGcs(String gcsUri) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (SpeechClient speechClient = SpeechClient.create()) {
SpeakerDiarizationConfig speakerDiarizationConfig = SpeakerDiarizationConfig.newBuilder().setEnableSpeakerDiarization(true).setMinSpeakerCount(2).setMaxSpeakerCount(2).build();
// Configure request to enable Speaker diarization
RecognitionConfig config = RecognitionConfig.newBuilder().setEncoding(RecognitionConfig.AudioEncoding.LINEAR16).setLanguageCode("en-US").setSampleRateHertz(8000).setDiarizationConfig(speakerDiarizationConfig).build();
// Set the remote path for the audio file
RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(gcsUri).build();
// Use non-blocking call for getting file transcription
OperationFuture<LongRunningRecognizeResponse, LongRunningRecognizeMetadata> future = speechClient.longRunningRecognizeAsync(config, audio);
System.out.println("Waiting for response...");
// Speaker Tags are only included in the last result object, which has only one alternative.
LongRunningRecognizeResponse response = future.get();
SpeechRecognitionAlternative alternative = response.getResults(response.getResultsCount() - 1).getAlternatives(0);
// The alternative is made up of WordInfo objects that contain the speaker_tag.
WordInfo wordInfo = alternative.getWords(0);
int currentSpeakerTag = wordInfo.getSpeakerTag();
// For each word, get all the words associated with one speaker, once the speaker changes,
// add a new line with the new speaker and their spoken words.
StringBuilder speakerWords = new StringBuilder(String.format("Speaker %d: %s", wordInfo.getSpeakerTag(), wordInfo.getWord()));
for (int i = 1; i < alternative.getWordsCount(); i++) {
wordInfo = alternative.getWords(i);
if (currentSpeakerTag == wordInfo.getSpeakerTag()) {
speakerWords.append(" ");
speakerWords.append(wordInfo.getWord());
} else {
speakerWords.append(String.format("\nSpeaker %d: %s", wordInfo.getSpeakerTag(), wordInfo.getWord()));
currentSpeakerTag = wordInfo.getSpeakerTag();
}
}
System.out.println(speakerWords.toString());
}
}
use of com.google.cloud.videointelligence.v1.SpeechRecognitionAlternative in project java-video-intelligence by googleapis.
the class Detect method speechTranscription.
// [START video_speech_transcription_gcs_beta]
/**
* Transcribe speech from a video stored on GCS.
*
* @param gcsUri the path to the video file to analyze.
*/
public static void speechTranscription(String gcsUri) throws Exception {
// Instantiate a com.google.cloud.videointelligence.v1p1beta1.VideoIntelligenceServiceClient
try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
// Set the language code
SpeechTranscriptionConfig config = SpeechTranscriptionConfig.newBuilder().setLanguageCode("en-US").setEnableAutomaticPunctuation(true).build();
// Set the video context with the above configuration
VideoContext context = VideoContext.newBuilder().setSpeechTranscriptionConfig(config).build();
// Create the request
AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.SPEECH_TRANSCRIPTION).setVideoContext(context).build();
// asynchronously perform speech transcription on videos
OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> response = client.annotateVideoAsync(request);
System.out.println("Waiting for operation to complete...");
// Display the results
for (VideoAnnotationResults results : response.get(300, TimeUnit.SECONDS).getAnnotationResultsList()) {
for (SpeechTranscription speechTranscription : results.getSpeechTranscriptionsList()) {
try {
// Print the transcription
if (speechTranscription.getAlternativesCount() > 0) {
SpeechRecognitionAlternative alternative = speechTranscription.getAlternatives(0);
System.out.printf("Transcript: %s\n", alternative.getTranscript());
System.out.printf("Confidence: %.2f\n", alternative.getConfidence());
System.out.println("Word level information:");
for (WordInfo wordInfo : alternative.getWordsList()) {
double startTime = wordInfo.getStartTime().getSeconds() + wordInfo.getStartTime().getNanos() / 1e9;
double endTime = wordInfo.getEndTime().getSeconds() + wordInfo.getEndTime().getNanos() / 1e9;
System.out.printf("\t%4.2fs - %4.2fs: %s\n", startTime, endTime, wordInfo.getWord());
}
} else {
System.out.println("No transcription found");
}
} catch (IndexOutOfBoundsException ioe) {
System.out.println("Could not retrieve frame: " + ioe.getMessage());
}
}
}
}
}
use of com.google.cloud.videointelligence.v1.SpeechRecognitionAlternative in project google-cloud-java by googleapis.
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();
}
Aggregations