58 lines
1.5 KiB
Swift
58 lines
1.5 KiB
Swift
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 encoder = "./sherpa-onnx-whisper-tiny/tiny-encoder.int8.onnx"
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let decoder = "./sherpa-onnx-whisper-tiny/tiny-decoder.int8.onnx"
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let whisperConfig = sherpaOnnxSpokenLanguageIdentificationWhisperConfig(
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encoder: encoder,
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decoder: decoder
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)
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var config = sherpaOnnxSpokenLanguageIdentificationConfig(
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whisper: whisperConfig,
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numThreads: 1,
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debug: 1,
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provider: "cpu"
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)
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let filePath = "./sherpa-onnx-whisper-tiny/test_wavs/0.wav"
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let slid = SherpaOnnxSpokenLanguageIdentificationWrapper(config: &config)
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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.sampleRate == 16000)
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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 = slid.decode(samples: array)
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print("\nDetectedllanguage is:\n\(result.lang)")
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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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