Add JavaScript API (WebAssembly) for FireRedAsr model. (#1874)

nodejs-examples/README.md

@@ -216,6 +216,21 @@ tar xvf sherpa-onnx-whisper-tiny.en.tar.bz2
 node ./test-offline-whisper.js
 ```
 
+## ./test-offline-fire-red-asr.js
+
+[./test-offline-fire-red-asr.js](./test-offline-fire-red-asr.js) demonstrates
+how to decode a file with a FireRedAsr AED model.
+
+You can use the following command to run it:
+
+```bash
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16.tar.bz2
+tar xvf sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16.tar.bz2
+rm sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16.tar.bz2
+
+node ./test-offline-fire-red-asr.js
+```
+
 ## ./test-offline-moonshine.js
 
 [./test-offline-moonshine.js](./test-offline-moonshine.js) demonstrates

nodejs-examples/package.json

@@ -1,7 +1,7 @@
 {
   "dependencies": {
     "naudiodon2": "^2.4.0",
-    "sherpa-onnx": "*",
+    "sherpa-onnx": "^1.10.44",
     "wav": "^1.0.2"
   }
 }

nodejs-examples/test-offline-fire-red-asr.js

@@ -0,0 +1,37 @@
+// Copyright (c)  2025  Xiaomi Corporation (authors: Fangjun Kuang)
+//
+const sherpa_onnx = require('sherpa-onnx');
+
+function createOfflineRecognizer() {
+  let modelConfig = {
+    fireRedAsr: {
+      encoder:
+          './sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/encoder.int8.onnx',
+      decoder:
+          './sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/decoder.int8.onnx',
+    },
+    tokens: './sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/tokens.txt',
+    debug: 1,
+  };
+
+  let config = {
+    modelConfig: modelConfig,
+  };
+
+  return sherpa_onnx.createOfflineRecognizer(config);
+}
+
+recognizer = createOfflineRecognizer();
+stream = recognizer.createStream();
+
+const waveFilename =
+    './sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/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();