offline , subtiles for any system backgroun sound
---------------------
To achieve real-time English subtitle generation from system audio (e.g., capturing voices from a team meeting) using a Java program, we need to:
- Capture system audio in real-time using Java’s audio APIs.
- Perform speech-to-text conversion to generate English subtitles.
- Display the subtitles in the console until the program is stopped.
Unlike the previous Python solution for Google Colab, which processed a pre-recorded WAV file due to Colab’s limitations, a Java program running locally can directly capture system audio (e.g., from a microphone or system output) using the `javax.sound.sampled` package. For speech-to-text, we’ll use a cloud-based API, such as Google Cloud Speech-to-Text, as Java doesn’t have a built-in speech recognition library. The program will:
- Capture audio from the system’s microphone (or loopback audio if configured).
- Send audio chunks to Google Cloud Speech-to-Text for real-time transcription.
- Print English subtitles to the console with timestamps.
### Prerequisites
- **Google Cloud Account**: Set up a Google Cloud project, enable the Speech-to-Text API, and download a service account JSON key.
- **Java Libraries**:
- Google Cloud Speech-to-Text client library (`google-cloud-speech`).
- Java Sound API (included in JDK).
- **System Audio**: For microphone input, ensure a microphone is connected. For system audio (e.g., meeting audio), you may need a virtual audio cable (e.g., VB-Audio Cable) to route system output to the input.
### Java Code
Below is a Java program that captures system audio, sends it to Google Cloud Speech-to-Text for real-time transcription, and prints English subtitles to the console. The program runs until manually stopped (e.g., via Ctrl+C).
```x-java
import com.google.cloud.speech.v1.*;
import com.google.protobuf.ByteString;
import javax.sound.sampled.*;
import java.io.*;
import java.time.LocalTime;
import java.time.format.DateTimeFormatter;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.LinkedBlockingQueue;
public class SpeechToSubtitles {
private static final int SAMPLE_RATE = 16000; // Hz, required by Google Speech-to-Text
private static final int CHUNK_SIZE = 3200; // Bytes (100ms at 16kHz, 16-bit, mono)
private static final BlockingQueue<byte[]> audioQueue = new LinkedBlockingQueue<>();
private static volatile boolean isRunning = true;
public static void main(String[] args) throws Exception {
// Set Google Cloud credentials (update path to your service account JSON)
System.setProperty("GOOGLE_APPLICATION_CREDENTIALS", "/path/to/your/service-account-key.json");
// Start audio capture thread
Thread captureThread = new Thread(SpeechToSubtitles::captureAudio);
captureThread.start();
// Start speech recognition
recognizeSpeech();
// Stop capture on program termination
isRunning = false;
captureThread.interrupt();
}
private static void captureAudio() {
try {
AudioFormat format = new AudioFormat(SAMPLE_RATE, 16, 1, true, false);
DataLine.Info info = new DataLine.Info(TargetDataLine.class, format);
TargetDataLine line = (TargetDataLine) AudioSystem.getLine(info);
line.open(format);
line.start();
byte[] buffer = new byte[CHUNK_SIZE];
while (isRunning) {
int bytesRead = line.read(buffer, 0, buffer.length);
if (bytesRead > 0) {
byte[] data = new byte[bytesRead];
System.arraycopy(buffer, 0, data, 0, bytesRead);
audioQueue.offer(data);
}
}
line.stop();
line.close();
} catch (LineUnavailableException e) {
System.err.println("Error capturing audio: " + e.getMessage());
}
}
private static void recognizeSpeech() {
try (SpeechClient speechClient = SpeechClient.create()) {
RecognitionConfig config = RecognitionConfig.newBuilder()
.setEncoding(RecognitionConfig.AudioEncoding.LINEAR16)
.setSampleRateHertz(SAMPLE_RATE)
.setLanguageCode("en-US")
.build();
StreamingRecognitionConfig streamingConfig = StreamingRecognitionConfig.newBuilder()
.setConfig(config)
.setInterimResults(true)
.build();
// Stream audio to Google Speech-to-Text
SpeechClient.StreamingRecognizeCall call = speechClient.streamingRecognizeCallable().splitCall();
call.request(StreamingRecognizeRequest.newBuilder().setStreamingConfig(streamingConfig).build());
DateTimeFormatter timeFormatter = DateTimeFormatter.ofPattern("mm:ss");
while (isRunning) {
byte[] audioChunk = audioQueue.poll();
if (audioChunk != null) {
ByteString audioBytes = ByteString.copyFrom(audioChunk);
StreamingRecognizeRequest request = StreamingRecognizeRequest.newBuilder()
.setAudioContent(audioBytes)
.build();
StreamingRecognizeResponse response = call.request(request).get();
for (StreamingRecognitionResult result : response.getResultsList()) {
for (SpeechRecognitionAlternative alternative : result.getAlternativesList()) {
String transcript = alternative.getTranscript();
if (!transcript.isEmpty()) {
String timestamp = LocalTime.now().format(timeFormatter);
System.out.println("[" + timestamp + "] " + transcript);
}
}
}
}
Thread.sleep(100); // Prevent tight loop
}
} catch (Exception e) {
System.err.println("Error in speech recognition: " + e.getMessage());
}
}
}
```
### Installation Commands
Run these in your local terminal to set up dependencies:
```bash
# Install Google Cloud Speech-to-Text library via Maven
# Add to your pom.xml if using Maven
cat <<EOL >> pom.xml
<project>
<dependencies>
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-speech</artifactId>
<version>2.9.0</version>
</dependency>
</dependencies>
</project>
EOL
# Install Maven (if not already installed)
sudo apt-get update
sudo apt-get install maven
# Download dependencies
mvn dependency:resolve
```
### Instructions to Run Locally
1. **Set Up Google Cloud**:
- Create a Google Cloud project and enable the Speech-to-Text API.
- Download your service account JSON key and place it at `/path/to/your/service-account-key.json`.
- Update the `GOOGLE_APPLICATION_CREDENTIALS` path in the code to point to your JSON file.
2. **Prepare Environment**:
- Ensure Java JDK 8 or higher is installed (`java -version` to check).
- Install Maven for dependency management (`sudo apt-get install maven` on Linux or equivalent).
- Add the Google Cloud Speech dependency to your project (via `pom.xml` as shown above).
3. **Configure Audio Input**:
- For microphone input, ensure a microphone is connected and set as the default input device.
- For system audio (e.g., meeting audio), install a virtual audio cable (e.g., VB-Audio Cable) and route system output to the input. Set the virtual cable as the default input in your system settings.
4. **Compile and Run**:
- Save the code as `SpeechToSubtitles.java`.
- Compile and run using Maven:
```bash
mvn compile
mvn exec:java -Dexec.mainClass="SpeechToSubtitles"
```
- Alternatively, compile and run manually:
```bash
javac -cp .:google-cloud-speech-2.9.0.jar SpeechToSubtitles.java
java -cp .:google-cloud-speech-2.9.0.jar SpeechToSubtitles
```
5. **View Subtitles**:
- The program starts capturing audio and prints subtitles to the console (e.g., `[00:05] Hello, welcome to the meeting`).
- Stop the program with Ctrl+C.
6. **Stop the Program**:
- Press Ctrl+C in the terminal to stop audio capture and transcription.
### Notes
- **Audio Input**: The code uses the default microphone. For system audio, configure a virtual audio cable. Modify the `TargetDataLine` setup if you need a specific audio device (I can provide code for device selection if needed).
- **Speech-to-Text**: Uses Google Cloud Speech-to-Text for accurate transcription. Ensure your Google Cloud account has sufficient quota and billing enabled (free tier may have limits).
- **Dependencies**: The `google-cloud-speech` library requires the JAR file or Maven setup. Download the JAR manually if not using Maven (`mvn dependency:resolve`).
- **Running in Colab**: Java in Colab is limited and cannot access local system audio. This code is designed for a local environment. If you need a Colab-based solution, we’d revert to processing uploaded audio files (as in the Python solution).
- **Performance**: The program processes audio in 100ms chunks for near-real-time transcription. Latency depends on network speed and Google’s API response time.
If you need modifications (e.g., specific audio device selection, alternative speech-to-text APIs, or running in a different environment), let me know!
--------------
import com.google.cloud.speech.v1.*;
import com.google.protobuf.ByteString;
import javax.sound.sampled.*;
import java.io.*;
import java.time.LocalTime;
import java.time.format.DateTimeFormatter;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.LinkedBlockingQueue;
public class SpeechToSubtitles {
private static final int SAMPLE_RATE = 16000; // Hz, required by Google Speech-to-Text
private static final int CHUNK_SIZE = 3200; // Bytes (100ms at 16kHz, 16-bit, mono)
private static final BlockingQueue<byte[]> audioQueue = new LinkedBlockingQueue<>();
private static volatile boolean isRunning = true;
public static void main(String[] args) throws Exception {
// Set Google Cloud credentials (update path to your service account JSON)
System.setProperty("GOOGLE_APPLICATION_CREDENTIALS", "/path/to/your/service-account-key.json");
// Start audio capture thread
Thread captureThread = new Thread(SpeechToSubtitles::captureAudio);
captureThread.start();
// Start speech recognition
recognizeSpeech();
// Stop capture on program termination
isRunning = false;
captureThread.interrupt();
}
private static void captureAudio() {
try {
AudioFormat format = new AudioFormat(SAMPLE_RATE, 16, 1, true, false);
DataLine.Info info = new DataLine.Info(TargetDataLine.class, format);
TargetDataLine line = (TargetDataLine) AudioSystem.getLine(info);
line.open(format);
line.start();
byte[] buffer = new byte[CHUNK_SIZE];
while (isRunning) {
int bytesRead = line.read(buffer, 0, buffer.length);
if (bytesRead > 0) {
byte[] data = new byte[bytesRead];
System.arraycopy(buffer, 0, data, 0, bytesRead);
audioQueue.offer(data);
}
}
line.stop();
line.close();
} catch (LineUnavailableException e) {
System.err.println("Error capturing audio: " + e.getMessage());
}
}
private static void recognizeSpeech() {
try (SpeechClient speechClient = SpeechClient.create()) {
RecognitionConfig config = RecognitionConfig.newBuilder()
.setEncoding(RecognitionConfig.AudioEncoding.LINEAR16)
.setSampleRateHertz(SAMPLE_RATE)
.setLanguageCode("en-US")
.build();
StreamingRecognitionConfig streamingConfig = StreamingRecognitionConfig.newBuilder()
.setConfig(config)
.setInterimResults(true)
.build();
// Stream audio to Google Speech-to-Text
SpeechClient.StreamingRecognizeCall call = speechClient.streamingRecognizeCallable().splitCall();
call.request(StreamingRecognizeRequest.newBuilder().setStreamingConfig(streamingConfig).build());
DateTimeFormatter timeFormatter = DateTimeFormatter.ofPattern("mm:ss");
while (isRunning) {
byte[] audioChunk = audioQueue.poll();
if (audioChunk != null) {
ByteString audioBytes = ByteString.copyFrom(audioChunk);
StreamingRecognizeRequest request = StreamingRecognizeRequest.newBuilder()
.setAudioContent(audioBytes)
.build();
StreamingRecognizeResponse response = call.request(request).get();
for (StreamingRecognitionResult result : response.getResultsList()) {
for (SpeechRecognitionAlternative alternative : result.getAlternativesList()) {
String transcript = alternative.getTranscript();
if (!transcript.isEmpty()) {
String timestamp = LocalTime.now().format(timeFormatter);
System.out.println("[" + timestamp + "] " + transcript);
}
}
}
}
Thread.sleep(100); // Prevent tight loop
}
} catch (Exception e) {
System.err.println("Error in speech recognition: " + e.getMessage());
}
}
}
