Add C# API for FireRedAsr Model (#1875)

.github/scripts/test-dot-net.sh

@@ -34,6 +34,10 @@ rm -fv *.wav
 rm -rfv sherpa-onnx-pyannote-*
 
 cd ../offline-decode-files
+
+./run-fire-red-asr.sh
+rm -rf sherpa-onnx-fire-red-asr-*
+
 ./run-moonshine.sh
 rm -rf sherpa-onnx-*
 

dotnet-examples/offline-decode-files/Program.cs

@@ -34,6 +34,14 @@ class OfflineDecodeFiles
     [Option("model-type", Required = false, Default = "", HelpText = "model type")]
     public string ModelType { get; set; } = string.Empty;
 
+    [Option("fire-red-asr-encoder", Required = false, Default = "", HelpText = "Path to FireRedAsr encoder.int8.onnx. Used only for FireRedAsr models")]
+    public string FireRedAsrEncoder { get; set; } = string.Empty;
+
+
+    [Option("fire-red-asr-decoder", Required = false, Default = "", HelpText = "Path to FireRedAsr decoder.int8.onnx. Used only for FireRedAsr models")]
+    public string FireRedAsrDecoder { get; set; } = string.Empty;
+
+
     [Option("whisper-encoder", Required = false, Default = "", HelpText = "Path to whisper encoder.onnx. Used only for whisper models")]
     public string WhisperEncoder { get; set; } = string.Empty;
 
@@ -252,6 +260,11 @@ to download pre-trained Tdnn models.
       config.ModelConfig.Moonshine.UncachedDecoder = options.MoonshineUncachedDecoder;
       config.ModelConfig.Moonshine.CachedDecoder = options.MoonshineCachedDecoder;
     }
+    else if (!string.IsNullOrEmpty(options.FireRedAsrEncoder))
+    {
+      config.ModelConfig.FireRedAsr.Encoder = options.FireRedAsrEncoder;
+      config.ModelConfig.FireRedAsr.Decoder = options.FireRedAsrDecoder;
+    }
     else
     {
       Console.WriteLine("Please provide a model");

dotnet-examples/offline-decode-files/run-fire-red-asr.sh

@@ -0,0 +1,17 @@
+#!/usr/bin/env bash
+
+set -ex
+
+  if [ ! -f ./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/encoder.int8.onnx ]; then
+    curl -SL -O 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
+    ls -lh sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16
+  fi
+
+dotnet run \
+  --num-threads=2 \
+  --fire-red-asr-encoder=./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/encoder.int8.onnx \
+  --fire-red-asr-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 \
+  --files ./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/test_wavs/0.wav

scripts/dotnet/OfflineFireRedAsrModelConfig.cs

@@ -0,0 +1,21 @@
+/// Copyright (c)  2025  Xiaomi Corporation (authors: Fangjun Kuang)
+
+using System.Runtime.InteropServices;
+
+namespace SherpaOnnx
+{
+    [StructLayout(LayoutKind.Sequential)]
+    public struct OfflineFireRedAsrModelConfig
+    {
+        public OfflineFireRedAsrModelConfig()
+        {
+            Encoder = "";
+            Decoder = "";
+        }
+        [MarshalAs(UnmanagedType.LPStr)]
+        public string Encoder;
+
+        [MarshalAs(UnmanagedType.LPStr)]
+        public string Decoder;
+    }
+}

scripts/dotnet/OfflineModelConfig.cs

@@ -25,6 +25,7 @@ namespace SherpaOnnx
             TeleSpeechCtc = "";
             SenseVoice = new OfflineSenseVoiceModelConfig();
             Moonshine = new OfflineMoonshineModelConfig();
+            FireRedAsr = new OfflineFireRedAsrModelConfig();
         }
         public OfflineTransducerModelConfig Transducer;
         public OfflineParaformerModelConfig Paraformer;
@@ -56,5 +57,6 @@ namespace SherpaOnnx
 
         public OfflineSenseVoiceModelConfig SenseVoice;
         public OfflineMoonshineModelConfig Moonshine;
+        public OfflineFireRedAsrModelConfig FireRedAsr;
     }
 }