support nodejs (#438)

nodejs-examples/test-vad-microphone.js

@@ -0,0 +1,74 @@
+// Copyright (c)  2023  Xiaomi Corporation (authors: Fangjun Kuang)
+
+const sherpa_onnx = require('sherpa-onnx');
+const portAudio = require('naudiodon2');
+console.log(portAudio.getDevices());
+
+function createVad() {
+  const sileroVadModelConfig = new sherpa_onnx.SileroVadModelConfig();
+  sileroVadModelConfig.model = './silero_vad.onnx';
+  sileroVadModelConfig.minSpeechDuration = 0.3;   // seconds
+  sileroVadModelConfig.minSilenceDuration = 0.3;  // seconds
+  sileroVadModelConfig.windowSize = 512;
+
+  const vadModelConfig = new sherpa_onnx.VadModelConfig();
+  vadModelConfig.sileroVad = sileroVadModelConfig;
+  vadModelConfig.sampleRate = 16000;
+
+  const bufferSizeInSeconds = 60;
+  const vad = new sherpa_onnx.VoiceActivityDetector(
+      vadModelConfig, bufferSizeInSeconds);
+  return vad;
+}
+vad = createVad();
+const bufferSizeInSeconds = 30;
+const buffer =
+    new sherpa_onnx.CircularBuffer(bufferSizeInSeconds * vad.config.sampleRate);
+
+const ai = new portAudio.AudioIO({
+  inOptions: {
+    channelCount: 1,
+    closeOnError: true,  // Close the stream if an audio error is detected, if
+                         // set false then just log the error
+    deviceId: -1,  // Use -1 or omit the deviceId to select the default device
+    sampleFormat: portAudio.SampleFormatFloat32,
+    sampleRate: vad.config.sampleRate
+  }
+});
+
+let printed = false;
+let index = 0;
+ai.on('data', data => {
+  const windowSize = vad.config.sileroVad.windowSize;
+  buffer.push(new Float32Array(data.buffer));
+  while (buffer.size() > windowSize) {
+    const samples = buffer.get(buffer.head(), windowSize);
+    buffer.pop(windowSize);
+    vad.acceptWaveform(samples)
+    if (vad.isDetected() && !printed) {
+      console.log(`${index}: Detected speech`)
+      printed = true;
+    }
+
+    if (!vad.isDetected()) {
+      printed = false;
+    }
+
+    while (!vad.isEmpty()) {
+      const segment = vad.front();
+      vad.pop();
+      const duration = segment.samples.length / vad.config.sampleRate;
+      console.log(`${index} End of speech. Duration: ${duration} seconds`);
+      index += 1;
+    }
+  }
+});
+
+ai.on('close', () => {
+  console.log('Free resources');
+  vad.free();
+  buffer.free();
+});
+
+ai.start();
+console.log('Started! Please speak')