Add Swift API for FireRedAsr AED Model (#1876)

@@ -7,6 +7,10 @@ echo "pwd: $PWD"
 cd swift-api-examples
 cd swift-api-examples
 ls -lh
 ls -lh
 
 
+
+./run-fire-red-asr.sh
+rm -rf sherpa-onnx-fire-red-asr-*
+
 ./run-tts-vits.sh
 ./run-tts-vits.sh
 ls -lh
 ls -lh
 rm -rf vits-piper-*
 rm -rf vits-piper-*

@@ -357,6 +357,16 @@ func sherpaOnnxOfflineWhisperModelConfig(
   )
   )
 }
 }
 
 
+func sherpaOnnxOfflineFireRedAsrModelConfig(
+  encoder: String = "",
+  decoder: String = ""
+) -> SherpaOnnxOfflineFireRedAsrModelConfig {
+  return SherpaOnnxOfflineFireRedAsrModelConfig(
+    encoder: toCPointer(encoder),
+    decoder: toCPointer(decoder)
+  )
+}
+
 func sherpaOnnxOfflineMoonshineModelConfig(
 func sherpaOnnxOfflineMoonshineModelConfig(
   preprocessor: String = "",
   preprocessor: String = "",
   encoder: String = "",
   encoder: String = "",
@@ -416,7 +426,8 @@ func sherpaOnnxOfflineModelConfig(
   bpeVocab: String = "",
   bpeVocab: String = "",
   teleSpeechCtc: String = "",
   teleSpeechCtc: String = "",
   senseVoice: SherpaOnnxOfflineSenseVoiceModelConfig = sherpaOnnxOfflineSenseVoiceModelConfig(),
   senseVoice: SherpaOnnxOfflineSenseVoiceModelConfig = sherpaOnnxOfflineSenseVoiceModelConfig(),
-  moonshine: SherpaOnnxOfflineMoonshineModelConfig = sherpaOnnxOfflineMoonshineModelConfig()
+  moonshine: SherpaOnnxOfflineMoonshineModelConfig = sherpaOnnxOfflineMoonshineModelConfig(),
+  fireRedAsr: SherpaOnnxOfflineFireRedAsrModelConfig = sherpaOnnxOfflineFireRedAsrModelConfig()
 ) -> SherpaOnnxOfflineModelConfig {
 ) -> SherpaOnnxOfflineModelConfig {
   return SherpaOnnxOfflineModelConfig(
   return SherpaOnnxOfflineModelConfig(
     transducer: transducer,
     transducer: transducer,
@@ -433,7 +444,8 @@ func sherpaOnnxOfflineModelConfig(
     bpe_vocab: toCPointer(bpeVocab),
     bpe_vocab: toCPointer(bpeVocab),
     telespeech_ctc: toCPointer(teleSpeechCtc),
     telespeech_ctc: toCPointer(teleSpeechCtc),
     sense_voice: senseVoice,
     sense_voice: senseVoice,
-    moonshine: moonshine
+    moonshine: moonshine,
+    fire_red_asr: fireRedAsr
   )
   )
 }
 }
 
 

+import AVFoundation
+
+extension AudioBuffer {
+  func array() -> [Float] {
+    return Array(UnsafeBufferPointer(self))
+  }
+}
+
+extension AVAudioPCMBuffer {
+  func array() -> [Float] {
+    return self.audioBufferList.pointee.mBuffers.array()
+  }
+}
+
+func run() {
+  let encoder = "./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/encoder.int8.onnx"
+  let decoder = "./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/decoder.int8.onnx"
+  let tokens = "./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/tokens.txt"
+
+  let fireRedAsr = sherpaOnnxOfflineFireRedAsrModelConfig(
+    encoder: encoder,
+    decoder: decoder
+  )
+
+  let modelConfig = sherpaOnnxOfflineModelConfig(
+    tokens: tokens,
+    debug: 0,
+    fireRedAsr: fireRedAsr
+  )
+
+  let featConfig = sherpaOnnxFeatureConfig(
+    sampleRate: 16000,
+    featureDim: 80
+  )
+  var config = sherpaOnnxOfflineRecognizerConfig(
+    featConfig: featConfig,
+    modelConfig: modelConfig
+  )
+
+  let recognizer = SherpaOnnxOfflineRecognizer(config: &config)
+
+  let filePath = "./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/test_wavs/0.wav"
+  let fileURL: NSURL = NSURL(fileURLWithPath: filePath)
+  let audioFile = try! AVAudioFile(forReading: fileURL as URL)
+
+  let audioFormat = audioFile.processingFormat
+  assert(audioFormat.channelCount == 1)
+  assert(audioFormat.commonFormat == AVAudioCommonFormat.pcmFormatFloat32)
+
+  let audioFrameCount = UInt32(audioFile.length)
+  let audioFileBuffer = AVAudioPCMBuffer(pcmFormat: audioFormat, frameCapacity: audioFrameCount)
+
+  try! audioFile.read(into: audioFileBuffer!)
+  let array: [Float]! = audioFileBuffer?.array()
+  let result = recognizer.decode(samples: array, sampleRate: Int(audioFormat.sampleRate))
+  print("\nresult is:\n\(result.text)")
+  if result.timestamps.count != 0 {
+    print("\ntimestamps is:\n\(result.timestamps)")
+  }
+
+}
+
+@main
+struct App {
+  static func main() {
+    run()
+  }
+}

+#!/usr/bin/env bash
+
+set -ex
+
+if [ ! -d ../build-swift-macos ]; then
+  echo "Please run ../build-swift-macos.sh first!"
+  exit 1
+fi
+
+if [ ! -f ./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/encoder.int8.onnx ]; then
+  echo "Please download the pre-trained model for testing."
+  echo "You can refer to"
+  echo ""
+  echo "https://k2-fsa.github.io/sherpa/onnx/pretrained_models/FireRedAsr/index.html"
+  echo ""
+  echo "for help"
+
+  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
+
+if [ ! -e ./fire-red-asr ]; then
+  # Note: We use -lc++ to link against libc++ instead of libstdc++
+  swiftc \
+    -lc++ \
+    -I ../build-swift-macos/install/include \
+    -import-objc-header ./SherpaOnnx-Bridging-Header.h \
+    ./fire-red-asr.swift  ./SherpaOnnx.swift \
+    -L ../build-swift-macos/install/lib/ \
+    -l sherpa-onnx \
+    -l onnxruntime \
+    -o fire-red-asr
+
+  strip fire-red-asr
+else
+  echo "./fire-red-asr exists - skip building"
+fi
+
+export DYLD_LIBRARY_PATH=$PWD/../build-swift-macos/install/lib:$DYLD_LIBRARY_PATH
+./fire-red-asr