Support non-streaming zipformer CTC ASR models (#2340)
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
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@@ -1,7 +1,7 @@
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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)
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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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@@ -19,6 +19,7 @@ fun test(type: Int) {
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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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