Add Swift API for Dolphin CTC models (#2091)
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66
swift-api-examples/dolphin-ctc-asr.swift
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66
swift-api-examples/dolphin-ctc-asr.swift
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import AVFoundation
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extension AudioBuffer {
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func array() -> [Float] {
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return Array(UnsafeBufferPointer(self))
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}
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}
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extension AVAudioPCMBuffer {
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func array() -> [Float] {
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return self.audioBufferList.pointee.mBuffers.array()
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}
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}
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func run() {
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let model = "./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/model.int8.onnx"
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let tokens = "./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/tokens.txt"
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let dolphin = sherpaOnnxOfflineDolphinModelConfig(
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model: model
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)
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let modelConfig = sherpaOnnxOfflineModelConfig(
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tokens: tokens,
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debug: 0,
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dolphin: dolphin
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)
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let featConfig = sherpaOnnxFeatureConfig(
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sampleRate: 16000,
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featureDim: 80
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)
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var config = sherpaOnnxOfflineRecognizerConfig(
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featConfig: featConfig,
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modelConfig: modelConfig
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)
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let recognizer = SherpaOnnxOfflineRecognizer(config: &config)
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let filePath = "./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/test_wavs/0.wav"
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let fileURL: NSURL = NSURL(fileURLWithPath: filePath)
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let audioFile = try! AVAudioFile(forReading: fileURL as URL)
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let audioFormat = audioFile.processingFormat
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assert(audioFormat.channelCount == 1)
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assert(audioFormat.commonFormat == AVAudioCommonFormat.pcmFormatFloat32)
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let audioFrameCount = UInt32(audioFile.length)
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let audioFileBuffer = AVAudioPCMBuffer(pcmFormat: audioFormat, frameCapacity: audioFrameCount)
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try! audioFile.read(into: audioFileBuffer!)
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let array: [Float]! = audioFileBuffer?.array()
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let result = recognizer.decode(samples: array, sampleRate: Int(audioFormat.sampleRate))
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print("\nresult is:\n\(result.text)")
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if result.timestamps.count != 0 {
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print("\ntimestamps is:\n\(result.timestamps)")
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}
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}
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@main
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struct App {
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static func main() {
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run()
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}
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}
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