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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@@ -241,6 +241,10 @@ struct SHERPA_ONNX_API OfflineDolphinModelConfig {
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std::string model;
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};
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struct SHERPA_ONNX_API OfflineZipformerCtcModelConfig {
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std::string model;
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};
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struct SHERPA_ONNX_API OfflineMoonshineModelConfig {
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std::string preprocessor;
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std::string encoder;
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@@ -267,6 +271,7 @@ struct SHERPA_ONNX_API OfflineModelConfig {
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OfflineMoonshineModelConfig moonshine;
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OfflineFireRedAsrModelConfig fire_red_asr;
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OfflineDolphinModelConfig dolphin;
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OfflineZipformerCtcModelConfig zipformer_ctc;
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};
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struct SHERPA_ONNX_API OfflineLMConfig {
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