76 lines
2.4 KiB
Swift
76 lines
2.4 KiB
Swift
import Foundation
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func getResource(_ forResource: String, _ ofType: String) -> String {
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let path = Bundle.main.path(forResource: forResource, ofType: ofType)
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precondition(
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path != nil,
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"\(forResource).\(ofType) does not exist!\n" + "Remember to change \n"
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+ " Build Phases -> Copy Bundle Resources\n" + "to add it!"
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)
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return path!
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}
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/// Please refer to
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/// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
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/// to download pre-trained models
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/// sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20 (Bilingual, Chinese + English)
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/// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/zipformer-transducer-models.html
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func getBilingualStreamZhEnZipformer20230220() -> SherpaOnnxOnlineModelConfig {
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let encoder = getResource("encoder-epoch-99-avg-1", "onnx")
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let decoder = getResource("decoder-epoch-99-avg-1", "onnx")
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let joiner = getResource("joiner-epoch-99-avg-1", "onnx")
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let tokens = getResource("tokens", "txt")
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return sherpaOnnxOnlineModelConfig(
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tokens: tokens,
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transducer: sherpaOnnxOnlineTransducerModelConfig(
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encoder: encoder,
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decoder: decoder,
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joiner: joiner),
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numThreads: 2,
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modelType: "zipformer"
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)
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}
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// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-paraformer/index.html
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func getBilingualStreamingZhEnParaformer() -> SherpaOnnxOnlineModelConfig {
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let encoder = getResource("encoder.int8", "onnx")
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let decoder = getResource("decoder.int8", "onnx")
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let tokens = getResource("tokens", "txt")
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return sherpaOnnxOnlineModelConfig(
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tokens: tokens,
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paraformer: sherpaOnnxOnlineParaformerModelConfig(
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encoder: encoder,
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decoder: decoder),
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numThreads: 1,
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modelType: "paraformer"
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)
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}
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// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/tiny.en.html#tiny-en
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//
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func getLanguageIdentificationTiny() -> SherpaOnnxSpokenLanguageIdentificationConfig
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{
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let encoder = getResource("tiny-encoder.int8", "onnx")
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let decoder = getResource("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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let 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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return config
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}
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/// Please refer to
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/// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
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/// to add more models if you need
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