Add Javascript (WebAssembly) API for Dolphin CTC models (#2093)

nodejs-examples/README.md

@@ -140,6 +140,20 @@ node ./test-offline-tts-vits-zh.js
 In the following, we demonstrate how to decode files and how to perform
 speech recognition with a microphone with `nodejs`.
 
+## ./test-offline-dolphin-ctc.js
+
+[./test-offline-dolphin-ctc.js](./test-offline-dolphin-ctc.js) demonstrates
+how to decode a file with a [Dolphin](https://github.com/DataoceanAI/Dolphin) CTC model.
+
+You can use the following command to run it:
+
+```bash
+wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02.tar.bz2
+tar xvf sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02.tar.bz2
+rm sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02.tar.bz2
+node ./test-offline-dolphin-ctc.js
+```
+
 ## ./test-offline-nemo-ctc.js
 
 [./test-offline-nemo-ctc.js](./test-offline-nemo-ctc.js) demonstrates

nodejs-examples/test-offline-dolphin-ctc.js

@@ -0,0 +1,37 @@
+// Copyright (c)  2025  Xiaomi Corporation (authors: Fangjun Kuang)
+//
+const fs = require('fs');
+const {Readable} = require('stream');
+const wav = require('wav');
+
+const sherpa_onnx = require('sherpa-onnx');
+
+function createOfflineRecognizer() {
+  let config = {
+    modelConfig: {
+      dolphin: {
+        model:
+            './sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/model.int8.onnx',
+      },
+      tokens:
+          './sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/tokens.txt',
+    }
+  };
+
+  return sherpa_onnx.createOfflineRecognizer(config);
+}
+
+const recognizer = createOfflineRecognizer();
+const stream = recognizer.createStream();
+
+const waveFilename =
+    './sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/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();