Publish node-addon-api wrapper for sherpa-onnx as npm packages (#829)

nodejs-addon-examples/README.md

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+# Introduction
+
+Note: You need `Node >= 10`.
+
+This repo contains examples for NodeJS.
+It uses [node-addon-api](https://github.com/nodejs/node-addon-api) to wrap
+`sherpa-onnx` for NodeJS and it supports multiple threads.
+
+Note: [../nodejs-examples](../nodejs-examples) uses WebAssembly to wrap
+`sherpa-onnx` for NodeJS and it does not support multiple threads.
+
+Before you continue, please first run
+
+```bash
+npm install
+
+# For macOS x64
+export DYLD_LIBRARY_PATH=$PWD/node_modules/sherpa-onnx-darwin-x64:$DYLD_LIBRARY_PATH
+
+# For macOS arm64
+export DYLD_LIBRARY_PATH=$PWD/node_modules/sherpa-onnx-darwin-arm64:$DYLD_LIBRARY_PATH
+
+# For Linux x64
+export LD_LIBRARY_PATH=$PWD/node_modules/sherpa-onnx-linux-x64:$LD_LIBRARY_PATH
+```
+
+
+## Streaming speech recognition with zipformer transducer
+```bash
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+tar xvf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+rm sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+
+```

nodejs-addon-examples/package.json

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+{
+  "dependencies": {
+    "sherpa-onnx-node": "*",
+    "perf_hooks": "*"
+  }
+}

nodejs-addon-examples/test_asr_streaming_transducer.js

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+// Copyright (c)  2024  Xiaomi Corporation
+const sherpa_onnx = require('sherpa-onnx-node');
+const performance = require('perf_hooks').performance;
+
+
+// Please download test files from
+// https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
+const config = {
+  'featConfig': {
+    'sampleRate': 16000,
+    'featureDim': 80,
+  },
+  'modelConfig': {
+    'transducer': {
+      'encoder':
+          './sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/encoder-epoch-99-avg-1.onnx',
+      'decoder':
+          './sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/decoder-epoch-99-avg-1.onnx',
+      'joiner':
+          './sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/joiner-epoch-99-avg-1.onnx',
+    },
+    'tokens':
+        './sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/tokens.txt',
+    'numThreads': 2,
+    'provider': 'cpu',
+    'debug': 1,
+    'modelType': 'zipformer',
+  }
+};
+
+const waveFilename =
+    './sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/test_wavs/0.wav';
+
+const recognizer = new sherpa_onnx.OnlineRecognizer(config);
+console.log('Started')
+let start = performance.now();
+const stream = recognizer.createStream();
+const wave = sherpa_onnx.readWave(waveFilename);
+stream.acceptWaveform(wave.samples, wave.sampleRate);
+
+const tailPadding = new Float32Array(wave.sampleRate * 0.4);
+stream.acceptWaveform(tailPadding, wave.sampleRate);
+
+while (recognizer.isReady(stream)) {
+  recognizer.decode(stream);
+}
+result = recognizer.getResult(stream)
+let stop = performance.now();
+console.log('Done')
+
+const elapsed_seconds = (stop - start) / 1000;
+const duration = wave.samples.length / wave.sampleRate;
+const real_time_factor = elapsed_seconds / duration;
+console.log('Wave duration', duration.toFixed(3), 'secodns')
+console.log('Elapsed', elapsed_seconds.toFixed(3), 'secodns')
+console.log('RTF', real_time_factor.toFixed(3))
+console.log('result', result.text)