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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.github/scripts/test-dart.sh
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.github/scripts/test-dart.sh
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@@ -6,6 +6,10 @@ cd dart-api-examples
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pushd non-streaming-asr
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echo '----------Zipformer CTC----------'
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./run-zipformer-ctc.sh
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rm -rf sherpa-onnx-*
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echo '----------SenseVoice----------'
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./run-sense-voice-with-hr.sh
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./run-sense-voice.sh
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@@ -114,6 +118,10 @@ popd
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pushd vad-with-non-streaming-asr
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echo '----------Zipformer CTC----------'
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./run-zipformer-ctc.sh
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rm -rf sherpa-onnx-*
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echo '----------Dolphin CTC----------'
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./run-dolphin-ctc.sh
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rm -rf sherpa-onnx-*
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