Add C/CXX/JavaScript API for NeMo Canary models (#2357)

This PR introduces support for NeMo Canary models across C, C++, and JavaScript APIs 
by adding new Canary configuration structures, updating bindings, extending examples,
and enhancing CI workflows.

- Add OfflineCanaryModelConfig to all language bindings (C, C++, JS, ETS).
- Implement SetConfig methods and NAPI wrappers for updating recognizer config at runtime.
- Update examples and CI scripts to demonstrate and test NeMo Canary model usage.

nodejs-examples/README.md

@@ -63,7 +63,7 @@ for text-to-speech.
 You can use the following command to run it:
 
 ```bash
-wget https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/kokoro-en-v0_19.tar.bz2
+curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/kokoro-en-v0_19.tar.bz2
 tar xf kokoro-en-v0_19.tar.bz2
 rm kokoro-en-v0_19.tar.bz2
 
@@ -154,6 +154,22 @@ rm sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02.tar.bz2
 node ./test-offline-dolphin-ctc.js
 ```
 
+## ./test-offline-nemo-canary.js
+
+[./test-offline-nemo-canary.js](./test-offline-nemo-canary.js) demonstrates
+how to decode a file with a NeMo Canary model. In the code we use
+[sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8](https://k2-fsa.github.io/sherpa/onnx/nemo/canary.html#sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8-english-spanish-german-french).
+
+You can use the following command to run it:
+
+```bash
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8.tar.bz2
+tar xvf sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8.tar.bz2
+rm sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8.tar.bz2
+
+node ./test-offline-nemo-canary.js
+```
+
 ## ./test-offline-zipformer-ctc.js
 
 [./test-offline-zipformer-ctc.js](./test-offline-zipformer-ctc.js) demonstrates

nodejs-examples/test-offline-nemo-canary.js

@@ -0,0 +1,56 @@
+// 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: {
+      canary: {
+        encoder:
+            './sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/encoder.int8.onnx',
+        decoder:
+            './sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/decoder.int8.onnx',
+        srcLang: 'en',
+        tgtLang: 'en',
+        usePnc: 1,
+      },
+      debug: 0,
+      tokens:
+          './sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/tokens.txt',
+    }
+  };
+
+  return sherpa_onnx.createOfflineRecognizer(config);
+}
+
+const recognizer = createOfflineRecognizer();
+let stream = recognizer.createStream();
+
+const waveFilename =
+    './sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8/test_wavs/en.wav';
+const wave = sherpa_onnx.readWave(waveFilename);
+stream.acceptWaveform(wave.sampleRate, wave.samples);
+
+recognizer.decode(stream);
+let text = recognizer.getResult(stream).text;
+console.log(`text in English: ${text}`);
+
+stream.free();
+
+// now output German text
+recognizer.config.modelConfig.canary.tgtLang = 'de';
+recognizer.setConfig(recognizer.config);
+
+stream = recognizer.createStream();
+stream.acceptWaveform(wave.sampleRate, wave.samples);
+recognizer.decode(stream);
+text = recognizer.getResult(stream).text;
+
+console.log(`text in German: ${text}`);
+
+stream.free();
+recognizer.free();