Add JavaScript API for Moonshine models (#1480)

nodejs-examples/test-offline-moonshine.js

@@ -0,0 +1,37 @@
+// Copyright (c)  2023  Xiaomi Corporation (authors: Fangjun Kuang)
+//
+const sherpa_onnx = require('sherpa-onnx');
+
+function createOfflineRecognizer() {
+  let modelConfig = {
+    moonshine: {
+      preprocessor: './sherpa-onnx-moonshine-tiny-en-int8/preprocess.onnx',
+      encoder: './sherpa-onnx-moonshine-tiny-en-int8/encode.int8.onnx',
+      uncachedDecoder:
+          './sherpa-onnx-moonshine-tiny-en-int8/uncached_decode.int8.onnx',
+      cachedDecoder:
+          './sherpa-onnx-moonshine-tiny-en-int8/cached_decode.int8.onnx',
+    },
+    tokens: './sherpa-onnx-moonshine-tiny-en-int8/tokens.txt',
+  };
+
+  let config = {
+    modelConfig: modelConfig,
+  };
+
+  return sherpa_onnx.createOfflineRecognizer(config);
+}
+
+recognizer = createOfflineRecognizer();
+stream = recognizer.createStream();
+
+const waveFilename = './sherpa-onnx-moonshine-tiny-en-int8/test_wavs/0.wav';
+const wave = sherpa_onnx.readWave(waveFilename);
+stream.acceptWaveform(wave.sampleRate, wave.samples);
+
+recognizer.decode(stream);
+const text = recognizer.getResult(stream).text;
+console.log(text);
+
+stream.free();
+recognizer.free();