This page describes how to get automatic punctuation in transcription results from Speech-to-Text. When you enable this feature, Speech-to-Text automatically infers the presence of periods, commas, and question marks in your audio data and adds them to the transcript.
By default, Speech-to-Text does not include punctuation marks in the results from speech recognition. However, you can request that Speech-to-Text automatically detect and insert punctuation in transcription results. When you enable automatic punctuation Speech-to-Text will also automatically capitalize the first letter after each period and question mark.
To enable automatic punctuation, set the enableAutomaticPunctuation field to
true in the RecognitionConfig parameters for the
request. The Speech-to-Text API supports automatic punctuation for all speech
recognition methods:
speech:recognize,
speech:longrunningrecognize,
and Streaming.
The following code samples demonstrate how to get automatic punctuation details in a transcription request.
Protocol
Refer to thespeech:recognize API endpoint for complete
details.
To perform synchronous speech recognition, make a POST request and provide the
appropriate request body. The following shows an example of a POST request using
curl. The example uses the access token for a service account set up for the
project using the Google Cloud
Cloud SDK. For instructions on installing the Cloud SDK,
setting up a project with a service account, and obtaining an access token,
see the quickstart.
curl -s -H "Content-Type: application/json" \
-H "Authorization: Bearer "$(gcloud auth print-access-token) \
https://speech.googleapis.com/v1/speech:recognize \
--data '{
"config": {
"encoding":"FLAC",
"sampleRateHertz": 16000,
"languageCode": "en-US",
"enableAutomaticPunctuation": true
},
"audio": {
"uri":"gs://cloud-samples-tests/speech/brooklyn.flac"
}
}'
See the RecognitionConfig reference
documentation for more information on configuring the request body.
If the request is successful, the server returns a 200 OK HTTP
status code and the response in JSON format:
{
"results": [
{
"alternatives": [
{
"transcript": "How old is the Brooklyn Bridge?",
"confidence": 0.98360395
}
]
}
]
}
Go
func autoPunctuation(w io.Writer, path string) error {
ctx := context.Background()
client, err := speech.NewClient(ctx)
if err != nil {
return fmt.Errorf("NewClient: %v", err)
}
// path = "../testdata/commercial_mono.wav"
data, err := ioutil.ReadFile(path)
if err != nil {
return fmt.Errorf("ReadFile: %v", err)
}
resp, err := client.Recognize(ctx, &speechpb.RecognizeRequest{
Config: &speechpb.RecognitionConfig{
Encoding: speechpb.RecognitionConfig_LINEAR16,
SampleRateHertz: 8000,
LanguageCode: "en-US",
// Enable automatic punctuation.
EnableAutomaticPunctuation: true,
},
Audio: &speechpb.RecognitionAudio{
AudioSource: &speechpb.RecognitionAudio_Content{Content: data},
},
})
if err != nil {
return fmt.Errorf("Recognize: %v", err)
}
for i, result := range resp.Results {
fmt.Fprintf(w, "%s\n", strings.Repeat("-", 20))
fmt.Fprintf(w, "Result %d\n", i+1)
for j, alternative := range result.Alternatives {
fmt.Fprintf(w, "Alternative %d: %s\n", j+1, alternative.Transcript)
}
}
return nil
}
Java
/*
* Copyright 2018 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.example.speech;
import com.google.api.gax.longrunning.OperationFuture;
import com.google.api.gax.rpc.ApiStreamObserver;
import com.google.api.gax.rpc.BidiStreamingCallable;
import com.google.api.gax.rpc.ClientStream;
import com.google.api.gax.rpc.ResponseObserver;
import com.google.api.gax.rpc.StreamController;
import com.google.cloud.speech.v1.LongRunningRecognizeMetadata;
import com.google.cloud.speech.v1.LongRunningRecognizeResponse;
import com.google.cloud.speech.v1.RecognitionAudio;
import com.google.cloud.speech.v1.RecognitionConfig;
import com.google.cloud.speech.v1.RecognitionConfig.AudioEncoding;
import com.google.cloud.speech.v1.RecognizeResponse;
import com.google.cloud.speech.v1.SpeechClient;
import com.google.cloud.speech.v1.SpeechRecognitionAlternative;
import com.google.cloud.speech.v1.SpeechRecognitionResult;
import com.google.cloud.speech.v1.StreamingRecognitionConfig;
import com.google.cloud.speech.v1.StreamingRecognitionResult;
import com.google.cloud.speech.v1.StreamingRecognizeRequest;
import com.google.cloud.speech.v1.StreamingRecognizeResponse;
import com.google.cloud.speech.v1.WordInfo;
import com.google.common.util.concurrent.SettableFuture;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;
import javax.sound.sampled.AudioFormat;
import javax.sound.sampled.AudioInputStream;
import javax.sound.sampled.AudioSystem;
import javax.sound.sampled.DataLine;
import javax.sound.sampled.DataLine.Info;
import javax.sound.sampled.TargetDataLine;
public class Recognize {
/** Run speech recognition tasks. */
public static void main(String... args) throws Exception {
if (args.length < 1) {
System.out.println("Usage:");
System.out.printf(
"\tjava %s \"<command>\" \"<path-to-image>\"\n"
+ "Commands:\n"
+ "\tsyncrecognize | asyncrecognize | streamrecognize | micstreamrecognize \n"
+ "\t| wordoffsets | auto-punctuation | stream-punctuation \n"
+ "\t| enhanced-model | model-selection | multi-channel\n"
+ "Path:\n\tA file path (ex: ./resources/audio.raw) or a URI "
+ "for a Cloud Storage resource (gs://...)\n",
Recognize.class.getCanonicalName());
return;
}
String command = args[0];
String path = args.length > 1 ? args[1] : "";
// Use command and GCS path pattern to invoke transcription.
if (command.equals("syncrecognize")) {
if (path.startsWith("gs://")) {
syncRecognizeGcs(path);
} else {
syncRecognizeFile(path);
}
} else if (command.equals("wordoffsets")) {
if (path.startsWith("gs://")) {
asyncRecognizeWords(path);
} else {
syncRecognizeWords(path);
}
} else if (command.equals("asyncrecognize")) {
if (path.startsWith("gs://")) {
asyncRecognizeGcs(path);
} else {
asyncRecognizeFile(path);
}
} else if (command.equals("streamrecognize")) {
streamingRecognizeFile(path);
} else if (command.equals("micstreamrecognize")) {
streamingMicRecognize();
} else if (command.equals("auto-punctuation")) {
if (path.startsWith("gs://")) {
transcribeGcsWithAutomaticPunctuation(path);
} else {
transcribeFileWithAutomaticPunctuation(path);
}
} else if (command.equals("stream-punctuation")) {
streamingTranscribeWithAutomaticPunctuation(path);
} else if (command.equals("enhanced-model")) {
transcribeFileWithEnhancedModel(path);
} else if (command.equals("model-selection")) {
if (path.startsWith("gs://")) {
transcribeModelSelectionGcs(path);
} else {
transcribeModelSelection(path);
}
} else if (command.equals("multi-channel")) {
if (path.startsWith("gs://")) {
transcribeMultiChannelGcs(path);
} else {
transcribeMultiChannel(path);
}
}
}
/**
* Performs speech recognition on raw PCM audio and prints the transcription.
*
* @param fileName the path to a PCM audio file to transcribe.
*/
public static void syncRecognizeFile(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)
.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());
}
}
}
/**
* 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);
}
}
}
}
/**
* 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());
}
}
}
/**
* 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());
}
}
}
/**
* Performs non-blocking speech recognition on remote FLAC file and prints the transcription as
* well as word time offsets.
*
* @param gcsUri the path to the remote LINEAR16 audio file to transcribe.
*/
public static void asyncRecognizeWords(String gcsUri) throws Exception {
// Instantiates a client with GOOGLE_APPLICATION_CREDENTIALS
try (SpeechClient speech = SpeechClient.create()) {
// Configure remote file request for FLAC
RecognitionConfig config =
RecognitionConfig.newBuilder()
.setEncoding(AudioEncoding.FLAC)
.setLanguageCode("en-US")
.setSampleRateHertz(16000)
.setEnableWordTimeOffsets(true)
.build();
RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(gcsUri).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());
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);
}
}
}
}
/**
* Performs non-blocking speech recognition on remote FLAC file and prints the transcription.
*
* @param gcsUri the path to the remote LINEAR16 audio file to transcribe.
*/
public static void asyncRecognizeGcs(String gcsUri) throws Exception {
// Instantiates a client with GOOGLE_APPLICATION_CREDENTIALS
try (SpeechClient speech = SpeechClient.create()) {
// Configure remote file request for FLAC
RecognitionConfig config =
RecognitionConfig.newBuilder()
.setEncoding(AudioEncoding.FLAC)
.setLanguageCode("en-US")
.setSampleRateHertz(16000)
.build();
RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(gcsUri).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());
}
}
}
/**
* Performs streaming speech recognition on raw PCM audio data.
*
* @param fileName the path to a PCM audio file to transcribe.
*/
public static void streamingRecognizeFile(String fileName) throws Exception, IOException {
Path path = Paths.get(fileName);
byte[] data = Files.readAllBytes(path);
// Instantiates a client with GOOGLE_APPLICATION_CREDENTIALS
try (SpeechClient speech = SpeechClient.create()) {
// Configure request with local raw PCM audio
RecognitionConfig recConfig =
RecognitionConfig.newBuilder()
.setEncoding(AudioEncoding.LINEAR16)
.setLanguageCode("en-US")
.setSampleRateHertz(16000)
.setModel("default")
.build();
StreamingRecognitionConfig config =
StreamingRecognitionConfig.newBuilder().setConfig(recConfig).build();
class ResponseApiStreamingObserver<T> implements ApiStreamObserver<T> {
private final SettableFuture<List<T>> future = SettableFuture.create();
private final List<T> messages = new java.util.ArrayList<T>();
@Override
public void onNext(T message) {
messages.add(message);
}
@Override
public void onError(Throwable t) {
future.setException(t);
}
@Override
public void onCompleted() {
future.set(messages);
}
// Returns the SettableFuture object to get received messages / exceptions.
public SettableFuture<List<T>> future() {
return future;
}
}
ResponseApiStreamingObserver<StreamingRecognizeResponse> responseObserver =
new ResponseApiStreamingObserver<>();
BidiStreamingCallable<StreamingRecognizeRequest, StreamingRecognizeResponse> callable =
speech.streamingRecognizeCallable();
ApiStreamObserver<StreamingRecognizeRequest> requestObserver =
callable.bidiStreamingCall(responseObserver);
// The first request must **only** contain the audio configuration:
requestObserver.onNext(
StreamingRecognizeRequest.newBuilder().setStreamingConfig(config).build());
// Subsequent requests must **only** contain the audio data.
requestObserver.onNext(
StreamingRecognizeRequest.newBuilder()
.setAudioContent(ByteString.copyFrom(data))
.build());
// Mark transmission as completed after sending the data.
requestObserver.onCompleted();
List<StreamingRecognizeResponse> responses = responseObserver.future().get();
for (StreamingRecognizeResponse response : responses) {
// For streaming recognize, the results list has one is_final result (if available) followed
// by a number of in-progress results (if iterim_results is true) for subsequent utterances.
// Just print the first result here.
StreamingRecognitionResult result = response.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());
}
}
}
/**
* Performs transcription with automatic punctuation on raw PCM audio data.
*
* @param fileName the path to a PCM audio file to transcribe.
*/
public static void transcribeFileWithAutomaticPunctuation(String fileName) throws Exception {
Path path = Paths.get(fileName);
byte[] content = Files.readAllBytes(path);
try (SpeechClient speechClient = SpeechClient.create()) {
// Configure request with local raw PCM audio
RecognitionConfig recConfig =
RecognitionConfig.newBuilder()
.setEncoding(AudioEncoding.LINEAR16)
.setLanguageCode("en-US")
.setSampleRateHertz(16000)
.setEnableAutomaticPunctuation(true)
.build();
// Get the contents of the local audio file
RecognitionAudio recognitionAudio =
RecognitionAudio.newBuilder().setContent(ByteString.copyFrom(content)).build();
// Perform the transcription request
RecognizeResponse recognizeResponse = speechClient.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);
// Print out the result
System.out.printf("Transcript : %s\n", alternative.getTranscript());
}
}
/**
* Performs transcription on remote FLAC file and prints the transcription.
*
* @param gcsUri the path to the remote FLAC audio file to transcribe.
*/
public static void transcribeGcsWithAutomaticPunctuation(String gcsUri) throws Exception {
try (SpeechClient speechClient = SpeechClient.create()) {
// Configure request with raw PCM audio
RecognitionConfig config =
RecognitionConfig.newBuilder()
.setEncoding(AudioEncoding.FLAC)
.setLanguageCode("en-US")
.setSampleRateHertz(16000)
.setEnableAutomaticPunctuation(true)
.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> response =
speechClient.longRunningRecognizeAsync(config, audio);
while (!response.isDone()) {
System.out.println("Waiting for response...");
Thread.sleep(10000);
}
// Just print the first result here.
SpeechRecognitionResult result = response.get().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);
// Print out the result
System.out.printf("Transcript : %s\n", alternative.getTranscript());
}
}
/**
* Performs streaming speech recognition on raw PCM audio data.
*
* @param fileName the path to a PCM audio file to transcribe.
*/
public static void streamingTranscribeWithAutomaticPunctuation(String fileName) throws Exception {
Path path = Paths.get(fileName);
byte[] data = Files.readAllBytes(path);
// Instantiates a client with GOOGLE_APPLICATION_CREDENTIALS
try (SpeechClient speech = SpeechClient.create()) {
// Configure request with local raw PCM audio
RecognitionConfig recConfig =
RecognitionConfig.newBuilder()
.setEncoding(AudioEncoding.LINEAR16)
.setLanguageCode("en-US")
.setSampleRateHertz(16000)
.setEnableAutomaticPunctuation(true)
.build();
// Build the streaming config with the audio config
StreamingRecognitionConfig config =
StreamingRecognitionConfig.newBuilder().setConfig(recConfig).build();
class ResponseApiStreamingObserver<T> implements ApiStreamObserver<T> {
private final SettableFuture<List<T>> future = SettableFuture.create();
private final List<T> messages = new java.util.ArrayList<T>();
@Override
public void onNext(T message) {
messages.add(message);
}
@Override
public void onError(Throwable t) {
future.setException(t);
}
@Override
public void onCompleted() {
future.set(messages);
}
// Returns the SettableFuture object to get received messages / exceptions.
public SettableFuture<List<T>> future() {
return future;
}
}
ResponseApiStreamingObserver<StreamingRecognizeResponse> responseObserver =
new ResponseApiStreamingObserver<>();
BidiStreamingCallable<StreamingRecognizeRequest, StreamingRecognizeResponse> callable =
speech.streamingRecognizeCallable();
ApiStreamObserver<StreamingRecognizeRequest> requestObserver =
callable.bidiStreamingCall(responseObserver);
// The first request must **only** contain the audio configuration:
requestObserver.onNext(
StreamingRecognizeRequest.newBuilder().setStreamingConfig(config).build());
// Subsequent requests must **only** contain the audio data.
requestObserver.onNext(
StreamingRecognizeRequest.newBuilder()
.setAudioContent(ByteString.copyFrom(data))
.build());
// Mark transmission as completed after sending the data.
requestObserver.onCompleted();
List<StreamingRecognizeResponse> responses = responseObserver.future().get();
for (StreamingRecognizeResponse response : responses) {
// For streaming recognize, the results list has one is_final result (if available) followed
// by a number of in-progress results (if iterim_results is true) for subsequent utterances.
// Just print the first result here.
StreamingRecognitionResult result = response.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());
}
}
}
/** Performs microphone streaming speech recognition with a duration of 1 minute. */
public static void streamingMicRecognize() throws Exception {
ResponseObserver<StreamingRecognizeResponse> responseObserver = null;
try (SpeechClient client = SpeechClient.create()) {
responseObserver =
new ResponseObserver<StreamingRecognizeResponse>() {
ArrayList<StreamingRecognizeResponse> responses = new ArrayList<>();
public void onStart(StreamController controller) {}
public void onResponse(StreamingRecognizeResponse response) {
responses.add(response);
}
public void onComplete() {
for (StreamingRecognizeResponse response : responses) {
StreamingRecognitionResult result = response.getResultsList().get(0);
SpeechRecognitionAlternative alternative = result.getAlternativesList().get(0);
System.out.printf("Transcript : %s\n", alternative.getTranscript());
}
}
public void onError(Throwable t) {
System.out.println(t);
}
};
ClientStream<StreamingRecognizeRequest> clientStream =
client.streamingRecognizeCallable().splitCall(responseObserver);
RecognitionConfig recognitionConfig =
RecognitionConfig.newBuilder()
.setEncoding(RecognitionConfig.AudioEncoding.LINEAR16)
.setLanguageCode("en-US")
.setSampleRateHertz(16000)
.build();
StreamingRecognitionConfig streamingRecognitionConfig =
StreamingRecognitionConfig.newBuilder().setConfig(recognitionConfig).build();
StreamingRecognizeRequest request =
StreamingRecognizeRequest.newBuilder()
.setStreamingConfig(streamingRecognitionConfig)
.build(); // The first request in a streaming call has to be a config
clientStream.send(request);
// SampleRate:16000Hz, SampleSizeInBits: 16, Number of channels: 1, Signed: true,
// bigEndian: false
AudioFormat audioFormat = new AudioFormat(16000, 16, 1, true, false);
DataLine.Info targetInfo =
new Info(
TargetDataLine.class,
audioFormat); // Set the system information to read from the microphone audio stream
if (!AudioSystem.isLineSupported(targetInfo)) {
System.out.println("Microphone not supported");
System.exit(0);
}
// Target data line captures the audio stream the microphone produces.
TargetDataLine targetDataLine = (TargetDataLine) AudioSystem.getLine(targetInfo);
targetDataLine.open(audioFormat);
targetDataLine.start();
System.out.println("Start speaking");
long startTime = System.currentTimeMillis();
// Audio Input Stream
AudioInputStream audio = new AudioInputStream(targetDataLine);
while (true) {
long estimatedTime = System.currentTimeMillis() - startTime;
byte[] data = new byte[6400];
audio.read(data);
if (estimatedTime > 60000) { // 60 seconds
System.out.println("Stop speaking.");
targetDataLine.stop();
targetDataLine.close();
break;
}
request =
StreamingRecognizeRequest.newBuilder()
.setAudioContent(ByteString.copyFrom(data))
.build();
clientStream.send(request);
}
} catch (Exception e) {
System.out.println(e);
}
responseObserver.onComplete();
}
/**
* Transcribe the given audio file using an enhanced model.
*
* @param fileName the path to an audio file.
*/
public static void transcribeFileWithEnhancedModel(String fileName) throws Exception {
Path path = Paths.get(fileName);
byte[] content = Files.readAllBytes(path);
try (SpeechClient speechClient = SpeechClient.create()) {
// Get the contents of the local audio file
RecognitionAudio recognitionAudio =
RecognitionAudio.newBuilder().setContent(ByteString.copyFrom(content)).build();
// Configure request to enable enhanced models
RecognitionConfig config =
RecognitionConfig.newBuilder()
.setEncoding(AudioEncoding.LINEAR16)
.setLanguageCode("en-US")
.setSampleRateHertz(8000)
.setUseEnhanced(true)
// A model must be specified to use enhanced model.
.setModel("phone_call")
.build();
// Perform the transcription request
RecognizeResponse recognizeResponse = speechClient.recognize(config, recognitionAudio);
// Print out the results
for (SpeechRecognitionResult result : recognizeResponse.getResultsList()) {
// There can be several alternative transcripts for a given chunk of speech. Just use the
// first (most likely) one here.
SpeechRecognitionAlternative alternative = result.getAlternatives(0);
System.out.format("Transcript: %s\n\n", alternative.getTranscript());
}
}
}
/**
* 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()
// encoding may either be omitted or must match the value in the file header
.setEncoding(AudioEncoding.LINEAR16)
.setLanguageCode("en-US")
// sample rate hertz may be either be omitted or must match the value in the file
// header
.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());
}
}
/**
* Performs transcription of the remote audio file asynchronously with the selected model.
*
* @param gcsUri the path to the remote audio file to transcribe.
*/
public static void transcribeModelSelectionGcs(String gcsUri) throws Exception {
try (SpeechClient speech = SpeechClient.create()) {
// Configure request with video media type
RecognitionConfig config =
RecognitionConfig.newBuilder()
// encoding may either be omitted or must match the value in the file header
.setEncoding(AudioEncoding.LINEAR16)
.setLanguageCode("en-US")
// sample rate hertz may be either be omitted or must match the value in the file
// header
.setSampleRateHertz(16000)
.setModel("video")
.build();
RecognitionAudio audio = RecognitionAudio.newBuilder().setUri(gcsUri).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();
// Just print the first result here.
SpeechRecognitionResult result = results.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());
}
}
/**
* Transcribe a local audio file with multi-channel recognition
*
* @param fileName the path to local audio file
*/
public static void transcribeMultiChannel(String fileName) throws Exception {
Path path = Paths.get(fileName);
byte[] content = Files.readAllBytes(path);
try (SpeechClient speechClient = SpeechClient.create()) {
// Get the contents of the local audio file
RecognitionAudio recognitionAudio =
RecognitionAudio.newBuilder().setContent(ByteString.copyFrom(content)).build();
// Configure request to enable multiple channels
RecognitionConfig config =
RecognitionConfig.newBuilder()
.setEncoding(AudioEncoding.LINEAR16)
.setLanguageCode("en-US")
.setSampleRateHertz(44100)
.setAudioChannelCount(2)
.setEnableSeparateRecognitionPerChannel(true)
.build();
// Perform the transcription request
RecognizeResponse recognizeResponse = speechClient.recognize(config, recognitionAudio);
// Print out the results
for (SpeechRecognitionResult result : recognizeResponse.getResultsList()) {
// There can be several alternative transcripts for a given chunk of speech. Just use the
// first (most likely) one here.
SpeechRecognitionAlternative alternative = result.getAlternatives(0);
System.out.format("Transcript : %s\n", alternative.getTranscript());
System.out.printf("Channel Tag : %s\n", result.getChannelTag());
}
}
}
/**
* Transcribe a remote audio file with multi-channel recognition
*
* @param gcsUri the path to the audio file
*/
public static void transcribeMultiChannelGcs(String gcsUri) throws Exception {
try (SpeechClient speechClient = SpeechClient.create()) {
// Configure request to enable multiple channels
RecognitionConfig config =
RecognitionConfig.newBuilder()
.setEncoding(AudioEncoding.LINEAR16)
.setLanguageCode("en-US")
.setSampleRateHertz(44100)
.setAudioChannelCount(2)
.setEnableSeparateRecognitionPerChannel(true)
.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> response =
speechClient.longRunningRecognizeAsync(config, audio);
while (!response.isDone()) {
System.out.println("Waiting for response...");
Thread.sleep(10000);
}
// Just print the first result here.
for (SpeechRecognitionResult result : response.get().getResultsList()) {
// 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);
// Print out the result
System.out.printf("Transcript : %s\n", alternative.getTranscript());
System.out.printf("Channel Tag : %s\n", result.getChannelTag());
}
}
}
}
Node.js
// Imports the Google Cloud client library for API
/**
* TODO(developer): Update client library import to use new
* version of API when desired features become available
*/
const speech = require('@google-cloud/speech');
const fs = require('fs');
// Creates a client
const client = new speech.SpeechClient();
/**
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const filename = 'Local path to audio file, e.g. /path/to/audio.raw';
// const encoding = 'Encoding of the audio file, e.g. LINEAR16';
// const sampleRateHertz = 16000;
// const languageCode = 'BCP-47 language code, e.g. en-US';
const config = {
encoding: encoding,
languageCode: languageCode,
enableAutomaticPunctuation: true,
};
const audio = {
content: fs.readFileSync(filename).toString('base64'),
};
const request = {
config: config,
audio: audio,
};
// Detects speech in the audio file
const [response] = await client.recognize(request);
const transcription = response.results
.map(result => result.alternatives[0].transcript)
.join('\n');
console.log('Transcription: ', transcription);Python
from google.cloud import speech
client = speech.SpeechClient()
# path = 'resources/commercial_mono.wav'
with io.open(path, 'rb') as audio_file:
content = audio_file.read()
audio = speech.types.RecognitionAudio(content=content)
config = speech.types.RecognitionConfig(
encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=8000,
language_code='en-US',
# Enable automatic punctuation
enable_automatic_punctuation=True)
response = client.recognize(config, audio)
for i, result in enumerate(response.results):
alternative = result.alternatives[0]
print('-' * 20)
print('First alternative of result {}'.format(i))
print('Transcript: {}'.format(alternative.transcript))C#
static object SyncRecognizePunctuation(string filePath)
{
var speech = SpeechClient.Create();
var response = speech.Recognize(new RecognitionConfig()
{
Encoding = RecognitionConfig.Types.AudioEncoding.Linear16,
SampleRateHertz = 8000,
LanguageCode = "en",
EnableAutomaticPunctuation = true,
}, RecognitionAudio.FromFile(filePath));
foreach (var result in response.Results)
{
foreach (var alternative in result.Alternatives)
{
Console.WriteLine(alternative.Transcript);
}
}
return 0;
}PHP
use Google\Cloud\Speech\V1\SpeechClient;
use Google\Cloud\Speech\V1\RecognitionAudio;
use Google\Cloud\Speech\V1\RecognitionConfig;
use Google\Cloud\Speech\V1\RecognitionConfig\AudioEncoding;
/** Uncomment and populate these variables in your code */
// $audioFile = 'path to an audio file';
// change these variables if necessary
$encoding = AudioEncoding::LINEAR16;
$sampleRateHertz = 32000;
$languageCode = 'en-US';
// get contents of a file into a string
$content = file_get_contents($audioFile);
// set string as audio content
$audio = (new RecognitionAudio())
->setContent($content);
// set config
$config = (new RecognitionConfig())
->setEncoding($encoding)
->setSampleRateHertz($sampleRateHertz)
->setLanguageCode($languageCode)
->setEnableAutomaticPunctuation(true);
// create the speech client
$client = new SpeechClient();
// make the API call
$response = $client->recognize($config, $audio);
$results = $response->getResults();
// print results
foreach ($results as $result) {
$alternatives = $result->getAlternatives();
$mostLikely = $alternatives[0];
$transcript = $mostLikely->getTranscript();
$confidence = $mostLikely->getConfidence();
printf('Transcript: %s' . PHP_EOL, $transcript);
printf('Confidence: %s' . PHP_EOL, $confidence);
}
$client->close();Ruby
# audio_file_path = "path/to/audio.wav"
require "google/cloud/speech"
speech = Google::Cloud::Speech.speech
config = {
encoding: :LINEAR16,
sample_rate_hertz: 8000,
language_code: "en-US",
enable_automatic_punctuation: true
}
audio_file = File.binread audio_file_path
audio = { content: audio_file }
operation = speech.long_running_recognize config: config, audio: audio
puts "Operation started"
operation.wait_until_done!
raise operation.results.message if operation.error?
results = operation.response.results
results.each_with_index do |result, i|
alternative = result.alternatives.first
puts "-" * 20
puts "First alternative of result #{i}"
puts "Transcript: #{alternative.transcript}"
end