EngineX-Iluvatar/enginex_bi_series-sherpa-onnx
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Support Android (#59)

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This commit is contained in:
Fangjun Kuang
2023-02-24 13:57:03 +08:00
committed by GitHub
parent 5a5d029490
commit 9064b3f016
68 changed files with 1469 additions and 220 deletions
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64
.github/scripts/Main.kt vendored
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@@ -3,43 +3,43 @@ package com.k2fsa.sherpa.onnx
import android.content.res.AssetManager
fun main() {
var featConfig = FeatureConfig(
sampleRate=16000.0f,
featureDim=80,
)
var featConfig = FeatureConfig(
sampleRate = 16000.0f,
featureDim = 80,
)
var modelConfig = OnlineTransducerModelConfig(
encoder="./sherpa-onnx-streaming-zipformer-en-2023-02-21/encoder-epoch-99-avg-1.onnx",
decoder="./sherpa-onnx-streaming-zipformer-en-2023-02-21/decoder-epoch-99-avg-1.onnx",
joiner="./sherpa-onnx-streaming-zipformer-en-2023-02-21/joiner-epoch-99-avg-1.onnx",
numThreads=4,
debug=false,
)
var modelConfig = OnlineTransducerModelConfig(
encoder = "./sherpa-onnx-streaming-zipformer-en-2023-02-21/encoder-epoch-99-avg-1.onnx",
decoder = "./sherpa-onnx-streaming-zipformer-en-2023-02-21/decoder-epoch-99-avg-1.onnx",
joiner = "./sherpa-onnx-streaming-zipformer-en-2023-02-21/joiner-epoch-99-avg-1.onnx",
tokens = "./sherpa-onnx-streaming-zipformer-en-2023-02-21/tokens.txt",
numThreads = 4,
debug = false,
)
var endpointConfig = EndpointConfig()
var endpointConfig = EndpointConfig()
var config = OnlineRecognizerConfig(
modelConfig=modelConfig,
featConfig=featConfig,
endpointConfig=endpointConfig,
tokens="./sherpa-onnx-streaming-zipformer-en-2023-02-21/tokens.txt",
enableEndpoint=true,
)
var config = OnlineRecognizerConfig(
modelConfig = modelConfig,
featConfig = featConfig,
endpointConfig = endpointConfig,
enableEndpoint = true,
)
var model = SherpaOnnx(
assetManager = AssetManager(),
config = config,
)
var samples = WaveReader.readWave(
assetManager = AssetManager(),
filename = "./sherpa-onnx-streaming-zipformer-en-2023-02-21/test_wavs/1089-134686-0001.wav",
)
var model = SherpaOnnx(
assetManager = AssetManager(),
config = config,
)
var samples = WaveReader.readWave(
assetManager = AssetManager(),
filename = "./sherpa-onnx-streaming-zipformer-en-2023-02-21/test_wavs/1089-134686-0001.wav",
)
model.decodeSamples(samples!!)
model.decodeSamples(samples!!)
var tail_paddings = FloatArray(8000) // 0.5 seconds
model.decodeSamples(tail_paddings)
var tail_paddings = FloatArray(8000) // 0.5 seconds
model.decodeSamples(tail_paddings)
model.inputFinished()
println(model.text)
model.inputFinished()
println("results: ${model.text}")
}