Add Swift API for TTS (#439)

+#!/usr/bin/env bash
+
+set -ex
+
+echo "pwd: $PWD"
+
+cd swift-api-examples
+ls -lh
+
+mkdir -p /Users/fangjun/Desktop
+pushd /Users/fangjun/Desktop
+wget -q https://huggingface.co/csukuangfj/test-data/resolve/main/Obama.wav
+ls -lh
+popd
+
+./run-generate-subtitles.sh
+
+ls -lh /Users/fangjun/Desktop
+cat /Users/fangjun/Desktop/Obama.srt
+
+./run-tts.sh
+ls -lh
+
+./run-decode-file.sh
+
+./run-decode-file-non-streaming.sh
+
+ls -lh

+name: swift
+
+on:
+  push:
+    branches:
+      - master
+
+  pull_request:
+    branches:
+      - master
+
+  workflow_dispatch:
+
+concurrency:
+  group: swift-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  swift:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [macos-13]
+
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: ccache
+        uses: hendrikmuhs/ccache-action@v1.2
+        with:
+          key: ${{ matrix.os }}-swift
+
+      - name: Build
+        shell: bash
+        run: |
+          sudo mkdir -p /Users/fangjun/Desktop
+          sudo chmod a=rwx /Users/fangjun/Desktop
+          ls -lhd /Users/fangjun/Desktop
+          ls -lh /Users/fangjun/Desktop
+
+          export CMAKE_CXX_COMPILER_LAUNCHER=ccache
+          export PATH="/usr/lib/ccache:/usr/local/opt/ccache/libexec:$PATH"
+          cmake --version
+
+          ./build-swift-macos.sh
+
+      - name: test
+        shell: bash
+        run: |
+          .github/scripts/test-swift.sh

 decode-file
 decode-file-non-streaming
 generate-subtitles
+tts
+vits-vctk
+sherpa-onnx-paraformer-zh-2023-09-14
+!*.sh

@@ -572,3 +572,110 @@ class SherpaOnnxVoiceActivityDetectorWrapper {
     SherpaOnnxVoiceActivityDetectorReset(vad)
   }
 }
+
+// offline tts
+func sherpaOnnxOfflineTtsVitsModelConfig(
+  model: String,
+  lexicon: String,
+  tokens: String,
+  noiseScale: Float = 0.667,
+  noiseScaleW: Float = 0.8,
+  lengthScale: Float = 1.0
+) -> SherpaOnnxOfflineTtsVitsModelConfig {
+  return SherpaOnnxOfflineTtsVitsModelConfig(
+    model: toCPointer(model),
+    lexicon: toCPointer(lexicon),
+    tokens: toCPointer(tokens),
+    noise_scale: noiseScale,
+    noise_scale_w: noiseScaleW,
+    length_scale: lengthScale)
+}
+
+func sherpaOnnxOfflineTtsModelConfig(
+  vits: SherpaOnnxOfflineTtsVitsModelConfig,
+  numThreads: Int = 1,
+  debug: Int = 0,
+  provider: String = "cpu"
+) -> SherpaOnnxOfflineTtsModelConfig {
+  return SherpaOnnxOfflineTtsModelConfig(
+    vits: vits,
+    num_threads: Int32(numThreads),
+    debug: Int32(debug),
+    provider: toCPointer(provider)
+  )
+}
+
+func sherpaOnnxOfflineTtsConfig(
+  model: SherpaOnnxOfflineTtsModelConfig,
+  ruleFsts: String = ""
+) -> SherpaOnnxOfflineTtsConfig {
+  return SherpaOnnxOfflineTtsConfig(
+    model: model,
+    rule_fsts: toCPointer(ruleFsts)
+  )
+}
+
+class SherpaOnnxGeneratedAudioWrapper {
+  /// A pointer to the underlying counterpart in C
+  let audio: UnsafePointer<SherpaOnnxGeneratedAudio>!
+
+  init(audio: UnsafePointer<SherpaOnnxGeneratedAudio>!) {
+    self.audio = audio
+  }
+
+  deinit {
+    if let audio {
+      SherpaOnnxDestroyOfflineTtsGeneratedAudio(audio)
+    }
+  }
+
+  var n: Int32 {
+    return audio.pointee.n
+  }
+
+  var sampleRate: Int32 {
+    return audio.pointee.sample_rate
+  }
+
+  var samples: [Float] {
+    if let p = audio.pointee.samples {
+      var samples: [Float] = []
+      for index in 0..<n {
+        samples.append(p[Int(index)])
+      }
+      return samples
+    } else {
+      let samples: [Float] = []
+      return samples
+    }
+  }
+
+  func save(filename: String) {
+    SherpaOnnxWriteWave(audio.pointee.samples, n, sampleRate, toCPointer(filename))
+  }
+}
+
+class SherpaOnnxOfflineTtsWrapper {
+  /// A pointer to the underlying counterpart in C
+  let tts: OpaquePointer!
+
+  /// Constructor taking a model config
+  init(
+    config: UnsafePointer<SherpaOnnxOfflineTtsConfig>!
+  ) {
+    tts = SherpaOnnxCreateOfflineTts(config)
+  }
+
+  deinit {
+    if let tts {
+      SherpaOnnxDestroyOfflineTts(tts)
+    }
+  }
+
+  func generate(text: String, sid: Int = 0, speed: Float = 1.0) -> SherpaOnnxGeneratedAudioWrapper {
+    let audio: UnsafePointer<SherpaOnnxGeneratedAudio>? = SherpaOnnxOfflineTtsGenerate(
+      tts, toCPointer(text), Int32(sid), speed)
+
+    return SherpaOnnxGeneratedAudioWrapper(audio: audio)
+  }
+}

@@ -175,8 +175,8 @@ func run() {
   var segments: [SpeechSegment] = []
 
   for offset in stride(from: 0, to: array.count, by: windowSize) {
-      let end = min(offset + windowSize, array.count)
-      vad.acceptWaveform(samples: [Float](array[offset ..< end]))
+    let end = min(offset + windowSize, array.count)
+    vad.acceptWaveform(samples: [Float](array[offset..<end]))
   }
 
   var index: Int = 0

+#!/usr/bin/env bash
+
+set -ex
+
+if [ ! -d ../build-swift-macos ]; then
+  echo "Please run ../build-swift-macos.sh first!"
+  exit 1
+fi
+
+if [ ! -d ./sherpa-onnx-whisper-tiny.en ]; 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/whisper/tiny.en.html"
+  echo ""
+  echo "for help"
+
+  wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.en.tar.bz2
+  tar xvf sherpa-onnx-whisper-tiny.en.tar.bz2
+  rm sherpa-onnx-whisper-tiny.en.tar.bz2
+fi
+
+if [ ! -e ./decode-file-non-streaming ]; 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 \
+    ./decode-file-non-streaming.swift  ./SherpaOnnx.swift \
+    -L ../build-swift-macos/install/lib/ \
+    -l sherpa-onnx \
+    -l onnxruntime \
+    -o decode-file-non-streaming
+
+  strip decode-file-non-streaming
+else
+  echo "./decode-file-non-streaming exists - skip building"
+fi
+
+export DYLD_LIBRARY_PATH=$PWD/../build-swift-macos/install/lib:$DYLD_LIBRARY_PATH
+./decode-file-non-streaming

@@ -14,7 +14,10 @@ if [ ! -d ./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20 ]; then
   echo "https://k2-fsa.github.io/sherpa/onnx/pretrained_models/zipformer-transducer-models.html#sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20-bilingual-chinese-english"
   echo ""
   echo "for help"
-  exit 1
+
+  wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+  tar xvf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
+  rm sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
 fi
 
 if [ ! -e ./decode-file ]; then
@@ -28,6 +31,8 @@ if [ ! -e ./decode-file ]; then
     -l sherpa-onnx \
     -l onnxruntime \
     -o decode-file
+
+  strip decode-file
 else
   echo "./decode-file exists - skip building"
 fi

@@ -14,7 +14,15 @@ if [ ! -d ./sherpa-onnx-whisper-tiny.en ]; then
   echo "https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/tiny.en.html"
   echo ""
   echo "for help"
-  exit 1
+
+  wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.en.tar.bz2
+  tar xvf sherpa-onnx-whisper-tiny.en.tar.bz2
+  rm sherpa-onnx-whisper-tiny.en.tar.bz2
+  ls -lh sherpa-onnx-whisper-tiny.en
+fi
+if [ ! -f ./silero_vad.onnx ]; then
+  echo "downloading silero_vad"
+  wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx
 fi
 
 if [ ! -e ./generate-subtitles ]; then
@@ -28,6 +36,8 @@ if [ ! -e ./generate-subtitles ]; then
     -l sherpa-onnx \
     -l onnxruntime \
     -o generate-subtitles
+
+  strip generate-subtitles
 else
   echo "./generate-subtitles exists - skip building"
 fi

+#!/usr/bin/env bash
+
+set -ex
+
+if [ ! -d ../build-swift-macos ]; then
+  echo "Please run ../build-swift-macos.sh first!"
+  exit 1
+fi
+
+if [ ! -d ./vits-vctk ]; then
+  echo "Please download the pre-trained model for testing."
+  echo "You can refer to"
+  echo ""
+  echo "https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/vits.html#vctk-english-multi-speaker-109-speakers"
+  echo ""
+  echo "for help"
+
+  wget -q https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-vctk.tar.bz2
+  tar xvf vits-vctk.tar.bz2
+  rm vits-vctk.tar.bz2
+fi
+
+if [ ! -e ./tts ]; 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 \
+    ./tts.swift  ./SherpaOnnx.swift \
+    -L ../build-swift-macos/install/lib/ \
+    -l sherpa-onnx \
+    -l onnxruntime \
+    -o tts
+
+  strip tts
+else
+  echo "./tts exists - skip building"
+fi
+
+export DYLD_LIBRARY_PATH=$PWD/../build-swift-macos/install/lib:$DYLD_LIBRARY_PATH
+./tts

+func run() {
+  let model = "./vits-vctk/vits-vctk.onnx"
+  let lexicon = "./vits-vctk/lexicon.txt"
+  let tokens = "./vits-vctk/tokens.txt"
+  let vits = sherpaOnnxOfflineTtsVitsModelConfig(
+    model: model,
+    lexicon: lexicon,
+    tokens: tokens
+  )
+  let modelConfig = sherpaOnnxOfflineTtsModelConfig(vits: vits)
+  var ttsConfig = sherpaOnnxOfflineTtsConfig(model: modelConfig)
+
+  let tts = SherpaOnnxOfflineTtsWrapper(config: &ttsConfig)
+
+  let text = "How are you doing? Fantastic!"
+  let sid = 99
+  let speed: Float = 1.0
+
+  let audio = tts.generate(text: text, sid: sid, speed: speed)
+  let filename = "test.wav"
+  audio.save(filename: filename)
+
+  print("\nSaved to:\n\(filename)")
+}
+
+@main
+struct App {
+  static func main() {
+    run()
+  }
+}