3bf986d08d
This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
51 lines
1.6 KiB
Kotlin
51 lines
1.6 KiB
Kotlin
package com.k2fsa.sherpa.onnx
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fun main() {
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val types = arrayOf(0, 2, 5, 6, 15, 21, 24, 25, 31)
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for (type in types) {
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test(type)
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}
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}
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fun test(type: Int) {
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val recognizer = createOfflineRecognizer(type)
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val waveFilename = when (type) {
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0 -> "./sherpa-onnx-paraformer-zh-2023-09-14/test_wavs/0.wav"
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2 -> "./sherpa-onnx-whisper-tiny.en/test_wavs/0.wav"
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5 -> "./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/test_wavs/1.wav"
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6 -> "./sherpa-onnx-nemo-ctc-en-citrinet-512/test_wavs/8k.wav"
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15 -> "./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/test_wavs/zh.wav"
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21 -> "./sherpa-onnx-moonshine-tiny-en-int8/test_wavs/0.wav"
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24 -> "./sherpa-onnx-fire-red-asr-large-zh_en-2025-02-16/test_wavs/0.wav"
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25 -> "./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/test_wavs/0.wav"
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31 -> "./sherpa-onnx-zipformer-ctc-zh-int8-2025-07-03/test_wavs/0.wav"
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else -> null
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}
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val objArray = WaveReader.readWaveFromFile(
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filename = waveFilename!!,
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)
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val samples: FloatArray = objArray[0] as FloatArray
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val sampleRate: Int = objArray[1] as Int
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val stream = recognizer.createStream()
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stream.acceptWaveform(samples, sampleRate=sampleRate)
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recognizer.decode(stream)
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val result = recognizer.getResult(stream)
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println(result)
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stream.release()
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recognizer.release()
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}
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fun createOfflineRecognizer(type: Int): OfflineRecognizer {
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val config = OfflineRecognizerConfig(
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featConfig = getFeatureConfig(sampleRate = 16000, featureDim = 80),
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modelConfig = getOfflineModelConfig(type = type)!!,
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)
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return OfflineRecognizer(config = config)
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}
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