46 lines
1.2 KiB
Kotlin
46 lines
1.2 KiB
Kotlin
package com.k2fsa.sherpa.onnx
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import android.content.res.AssetManager
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fun main() {
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var featConfig = FeatureConfig(
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sampleRate=16000.0f,
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featureDim=80,
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)
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var modelConfig = OnlineTransducerModelConfig(
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encoder="./sherpa-onnx-streaming-zipformer-en-2023-02-21/encoder-epoch-99-avg-1.onnx",
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decoder="./sherpa-onnx-streaming-zipformer-en-2023-02-21/decoder-epoch-99-avg-1.onnx",
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joiner="./sherpa-onnx-streaming-zipformer-en-2023-02-21/joiner-epoch-99-avg-1.onnx",
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numThreads=4,
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debug=false,
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)
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var endpointConfig = EndpointConfig()
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var config = OnlineRecognizerConfig(
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modelConfig=modelConfig,
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featConfig=featConfig,
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endpointConfig=endpointConfig,
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tokens="./sherpa-onnx-streaming-zipformer-en-2023-02-21/tokens.txt",
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enableEndpoint=true,
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)
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var model = SherpaOnnx(
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assetManager = AssetManager(),
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config = config,
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)
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var samples = WaveReader.readWave(
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assetManager = AssetManager(),
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filename = "./sherpa-onnx-streaming-zipformer-en-2023-02-21/test_wavs/1089-134686-0001.wav",
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)
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model.decodeSamples(samples!!)
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var tail_paddings = FloatArray(8000) // 0.5 seconds
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model.decodeSamples(tail_paddings)
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model.inputFinished()
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println(model.text)
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}
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