Swift API for speaker diarization (#1404)

@@ -7,6 +7,11 @@ echo "pwd: $PWD"
 cd swift-api-examples
 ls -lh
 
+./run-speaker-diarization.sh
+rm -rf *.onnx
+rm -rf sherpa-onnx-pyannote-segmentation-3-0
+rm -fv *.wav
+
 ./run-add-punctuations.sh
 rm ./add-punctuations
 rm -rf sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12

@@ -1078,3 +1078,116 @@ class SherpaOnnxOfflinePunctuationWrapper {
     return ans
   }
 }
+
+func sherpaOnnxOfflineSpeakerSegmentationPyannoteModelConfig(model: String)
+  -> SherpaOnnxOfflineSpeakerSegmentationPyannoteModelConfig
+{
+  return SherpaOnnxOfflineSpeakerSegmentationPyannoteModelConfig(model: toCPointer(model))
+}
+
+func sherpaOnnxOfflineSpeakerSegmentationModelConfig(
+  pyannote: SherpaOnnxOfflineSpeakerSegmentationPyannoteModelConfig,
+  numThreads: Int = 1,
+  debug: Int = 0,
+  provider: String = "cpu"
+) -> SherpaOnnxOfflineSpeakerSegmentationModelConfig {
+  return SherpaOnnxOfflineSpeakerSegmentationModelConfig(
+    pyannote: pyannote,
+    num_threads: Int32(numThreads),
+    debug: Int32(debug),
+    provider: toCPointer(provider)
+  )
+}
+
+func sherpaOnnxFastClusteringConfig(numClusters: Int = -1, threshold: Float = 0.5)
+  -> SherpaOnnxFastClusteringConfig
+{
+  return SherpaOnnxFastClusteringConfig(num_clusters: Int32(numClusters), threshold: threshold)
+}
+
+func sherpaOnnxSpeakerEmbeddingExtractorConfig(
+  model: String,
+  numThreads: Int = 1,
+  debug: Int = 0,
+  provider: String = "cpu"
+) -> SherpaOnnxSpeakerEmbeddingExtractorConfig {
+  return SherpaOnnxSpeakerEmbeddingExtractorConfig(
+    model: toCPointer(model),
+    num_threads: Int32(numThreads),
+    debug: Int32(debug),
+    provider: toCPointer(provider)
+  )
+}
+
+func sherpaOnnxOfflineSpeakerDiarizationConfig(
+  segmentation: SherpaOnnxOfflineSpeakerSegmentationModelConfig,
+  embedding: SherpaOnnxSpeakerEmbeddingExtractorConfig,
+  clustering: SherpaOnnxFastClusteringConfig,
+  minDurationOn: Float = 0.3,
+  minDurationOff: Float = 0.5
+) -> SherpaOnnxOfflineSpeakerDiarizationConfig {
+  return SherpaOnnxOfflineSpeakerDiarizationConfig(
+    segmentation: segmentation,
+    embedding: embedding,
+    clustering: clustering,
+    min_duration_on: minDurationOn,
+    min_duration_off: minDurationOff
+  )
+}
+
+struct SherpaOnnxOfflineSpeakerDiarizationSegmentWrapper {
+  var start: Float = 0
+  var end: Float = 0
+  var speaker: Int = 0
+}
+
+class SherpaOnnxOfflineSpeakerDiarizationWrapper {
+  /// A pointer to the underlying counterpart in C
+  let impl: OpaquePointer!
+
+  init(
+    config: UnsafePointer<SherpaOnnxOfflineSpeakerDiarizationConfig>!
+  ) {
+    impl = SherpaOnnxCreateOfflineSpeakerDiarization(config)
+  }
+
+  deinit {
+    if let impl {
+      SherpaOnnxDestroyOfflineSpeakerDiarization(impl)
+    }
+  }
+
+  var sampleRate: Int {
+    return Int(SherpaOnnxOfflineSpeakerDiarizationGetSampleRate(impl))
+  }
+
+  func process(samples: [Float]) -> [SherpaOnnxOfflineSpeakerDiarizationSegmentWrapper] {
+    let result = SherpaOnnxOfflineSpeakerDiarizationProcess(
+      impl, samples, Int32(samples.count))
+
+    if result == nil {
+      return []
+    }
+
+    let numSegments = Int(SherpaOnnxOfflineSpeakerDiarizationResultGetNumSegments(result))
+
+    let p: UnsafePointer<SherpaOnnxOfflineSpeakerDiarizationSegment>? =
+      SherpaOnnxOfflineSpeakerDiarizationResultSortByStartTime(result)
+
+    if p == nil {
+      return []
+    }
+
+    var ans: [SherpaOnnxOfflineSpeakerDiarizationSegmentWrapper] = []
+    for i in 0..<numSegments {
+      ans.append(
+        SherpaOnnxOfflineSpeakerDiarizationSegmentWrapper(
+          start: p![i].start, end: p![i].end, speaker: Int(p![i].speaker)))
+    }
+
+    SherpaOnnxOfflineSpeakerDiarizationDestroySegment(p)
+    SherpaOnnxOfflineSpeakerDiarizationDestroyResult(result)
+
+    return ans
+  }
+}

+#!/usr/bin/env bash
+
+if [ ! -f ./sherpa-onnx-pyannote-segmentation-3-0/model.onnx ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
+  tar xvf sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
+  rm sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
+fi
+
+if [ ! -f ./3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx
+fi
+
+if [ ! -f ./0-four-speakers-zh.wav ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/0-four-speakers-zh.wav
+fi
+
+if [ ! -e ./speaker-diarization ]; 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 \
+    ./speaker-diarization.swift  ./SherpaOnnx.swift \
+    -L ../build-swift-macos/install/lib/ \
+    -l sherpa-onnx \
+    -l onnxruntime \
+    -o speaker-diarization
+
+  strip speaker-diarization
+else
+  echo "./speaker-diarization exists - skip building"
+fi
+
+export DYLD_LIBRARY_PATH=$PWD/../build-swift-macos/install/lib:$DYLD_LIBRARY_PATH
+./speaker-diarization

+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 segmentationModel = "./sherpa-onnx-pyannote-segmentation-3-0/model.onnx"
+  let embeddingExtractorModel = "./3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx"
+  let waveFilename = "./0-four-speakers-zh.wav"
+
+  // There are 4 speakers in ./0-four-speakers-zh.wav, so we use 4 here
+  let numSpeakers = 4
+  var config = sherpaOnnxOfflineSpeakerDiarizationConfig(
+    segmentation: sherpaOnnxOfflineSpeakerSegmentationModelConfig(
+      pyannote: sherpaOnnxOfflineSpeakerSegmentationPyannoteModelConfig(model: segmentationModel)),
+    embedding: sherpaOnnxSpeakerEmbeddingExtractorConfig(model: embeddingExtractorModel),
+    clustering: sherpaOnnxFastClusteringConfig(numClusters: numSpeakers)
+  )
+
+  let sd = SherpaOnnxOfflineSpeakerDiarizationWrapper(config: &config)
+
+  let fileURL: NSURL = NSURL(fileURLWithPath: waveFilename)
+  let audioFile = try! AVAudioFile(forReading: fileURL as URL)
+
+  let audioFormat = audioFile.processingFormat
+  assert(Int(audioFormat.sampleRate) == sd.sampleRate)
+  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()
+  print("Started!")
+  let segments = sd.process(samples: array)
+  for i in 0..<segments.count {
+    print("\(segments[i].start) -- \(segments[i].end) speaker_\(segments[i].speaker)")
+  }
+}
+
+@main
+struct App {
+  static func main() {
+    run()
+  }
+}