Add WebAssembly for NodeJS. (#628)

nodejs-examples/test-offline-whisper.js

@@ -6,32 +6,58 @@ const wav = require('wav');
 
 const sherpa_onnx = require('sherpa-onnx');
 
-function createRecognizer() {
-  const featConfig = new sherpa_onnx.FeatureConfig();
-  featConfig.sampleRate = 16000;
-  featConfig.featureDim = 80;
+function createOfflineRecognizer() {
+  let featConfig = {
+    sampleRate: 16000,
+    featureDim: 80,
+  };
 
-  // test online recognizer
-  const whisper = new sherpa_onnx.OfflineWhisperModelConfig();
-  whisper.encoder = './sherpa-onnx-whisper-tiny.en/tiny.en-encoder.int8.onnx';
-  whisper.decoder = './sherpa-onnx-whisper-tiny.en/tiny.en-decoder.int8.onnx';
-  const tokens = './sherpa-onnx-whisper-tiny.en/tiny.en-tokens.txt';
+  let modelConfig = {
+    transducer: {
+      encoder: '',
+      decoder: '',
+      joiner: '',
+    },
+    paraformer: {
+      model: '',
+    },
+    nemoCtc: {
+      model: '',
+    },
+    whisper: {
+      encoder: './sherpa-onnx-whisper-tiny.en/tiny.en-encoder.int8.onnx',
+      decoder: './sherpa-onnx-whisper-tiny.en/tiny.en-decoder.int8.onnx',
+    },
+    tdnn: {
+      model: '',
+    },
+    tokens: './sherpa-onnx-whisper-tiny.en/tiny.en-tokens.txt',
+    numThreads: 1,
+    debug: 0,
+    provider: 'cpu',
+    modelType: 'whisper',
+  };
 
-  const modelConfig = new sherpa_onnx.OfflineModelConfig();
-  modelConfig.whisper = whisper;
-  modelConfig.tokens = tokens;
-  modelConfig.modelType = 'whisper';
+  let lmConfig = {
+    model: '',
+    scale: 1.0,
+  };
 
-  const recognizerConfig = new sherpa_onnx.OfflineRecognizerConfig();
-  recognizerConfig.featConfig = featConfig;
-  recognizerConfig.modelConfig = modelConfig;
-  recognizerConfig.decodingMethod = 'greedy_search';
+  let config = {
+    featConfig: featConfig,
+    modelConfig: modelConfig,
+    lmConfig: lmConfig,
+    decodingMethod: 'greedy_search',
+    maxActivePaths: 4,
+    hotwordsFile: '',
+    hotwordsScore: 1.5,
+  };
 
-  const recognizer = new sherpa_onnx.OfflineRecognizer(recognizerConfig);
-  return recognizer;
+  return sherpa_onnx.createOfflineRecognizer(config);
 }
 
-recognizer = createRecognizer();
+
+recognizer = createOfflineRecognizer();
 stream = recognizer.createStream();
 
 const waveFilename = './sherpa-onnx-whisper-tiny.en/test_wavs/0.wav';
@@ -72,8 +98,8 @@ fs.createReadStream(waveFilename, {'highWaterMark': 4096})
 
       stream.acceptWaveform(recognizer.config.featConfig.sampleRate, flattened);
       recognizer.decode(stream);
-      const r = recognizer.getResult(stream);
-      console.log(r.text);
+      const text = recognizer.getResult(stream);
+      console.log(text);
 
       stream.free();
       recognizer.free();