support nodejs (#438)

nodejs-examples/test-online-paraformer-microphone.js

@@ -0,0 +1,86 @@
+// Copyright (c)  2023  Xiaomi Corporation (authors: Fangjun Kuang)
+//
+const portAudio = require('naudiodon2');
+console.log(portAudio.getDevices());
+
+const sherpa_onnx = require('sherpa-onnx');
+
+function createRecognizer() {
+  const featConfig = new sherpa_onnx.FeatureConfig();
+  featConfig.sampleRate = 16000;
+  featConfig.featureDim = 80;
+
+  const paraformer = new sherpa_onnx.OnlineParaformerModelConfig();
+  paraformer.encoder =
+      './sherpa-onnx-streaming-paraformer-bilingual-zh-en/encoder.int8.onnx';
+  paraformer.decoder =
+      './sherpa-onnx-streaming-paraformer-bilingual-zh-en/decoder.int8.onnx';
+  const tokens =
+      './sherpa-onnx-streaming-paraformer-bilingual-zh-en/tokens.txt';
+
+  const modelConfig = new sherpa_onnx.OnlineModelConfig();
+  modelConfig.paraformer = paraformer;
+  modelConfig.tokens = tokens;
+  modelConfig.modelType = 'paraformer';
+
+  const recognizerConfig = new sherpa_onnx.OnlineRecognizerConfig();
+  recognizerConfig.featConfig = featConfig;
+  recognizerConfig.modelConfig = modelConfig;
+  recognizerConfig.decodingMethod = 'greedy_search';
+  recognizerConfig.enableEndpoint = 1;
+
+  const recognizer = new sherpa_onnx.OnlineRecognizer(recognizerConfig);
+  return recognizer;
+}
+recognizer = createRecognizer();
+stream = recognizer.createStream();
+
+display = new sherpa_onnx.Display(50);
+
+let lastText = '';
+let segmentIndex = 0;
+
+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: recognizer.config.featConfig.sampleRate
+  }
+});
+
+ai.on('data', data => {
+  const samples = new Float32Array(data.buffer);
+
+  stream.acceptWaveform(recognizer.config.featConfig.sampleRate, samples);
+
+  while (recognizer.isReady(stream)) {
+    recognizer.decode(stream);
+  }
+
+  const isEndpoint = recognizer.isEndpoint(stream);
+  const text = recognizer.getResult(stream).text;
+
+  if (text.length > 0 && lastText != text) {
+    lastText = text;
+    display.print(segmentIndex, lastText);
+  }
+  if (isEndpoint) {
+    if (text.length > 0) {
+      lastText = text;
+      segmentIndex += 1;
+    }
+    recognizer.reset(stream)
+  }
+});
+
+ai.on('close', () => {
+  console.log('Free resources');
+  stream.free();
+  recognizer.free();
+});
+
+ai.start();
+console.log('Started! Please speak')