Add C# API for spoken language identification (#697)

dotnet-examples/spoken-language-identification/Program.cs

@@ -0,0 +1,42 @@
+// Copyright (c)  2024  Xiaomi Corporation
+//
+// This file shows how to do spoken language identification with whisper.
+//
+// 1. Download a whisper multilingual model. We use a tiny model below.
+// Please refer to https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
+// to download more models.
+//
+// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.tar.bz2
+// tar xvf sherpa-onnx-whisper-tiny.tar.bz2
+// rm sherpa-onnx-whisper-tiny.tar.bz2
+//
+// 2. Now run it
+//
+// dotnet run
+
+using SherpaOnnx;
+using System.Collections.Generic;
+using System;
+
+class SpokenLanguageIdentificationDemo
+{
+
+  static void Main(string[] args)
+  {
+    var config = new SpokenLanguageIdentificationConfig();
+    config.Whisper.Encoder = "./sherpa-onnx-whisper-tiny/tiny-encoder.int8.onnx";
+    config.Whisper.Decoder = "./sherpa-onnx-whisper-tiny/tiny-decoder.int8.onnx";
+
+    var slid = new SpokenLanguageIdentification(config);
+    var filename = "./sherpa-onnx-whisper-tiny/test_wavs/0.wav";
+
+    WaveReader waveReader = new WaveReader(filename);
+
+    var s = slid.CreateStream();
+    s.AcceptWaveform(waveReader.SampleRate, waveReader.Samples);
+    var result = slid.Compute(s);
+    Console.WriteLine($"Filename: {filename}");
+    Console.WriteLine($"Detected language: {result.Lang}");
+  }
+}
+