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
22 lines
389 B
Plaintext
22 lines
389 B
Plaintext
decode-file
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decode-file-non-streaming
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generate-subtitles
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spoken-language-identification
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tts-vits
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vits-vctk
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sherpa-onnx-paraformer-zh-2023-09-14
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!*.sh
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*.bak
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streaming-hlg-decode-file
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keyword-spotting-from-file
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add-punctuations
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tts-matcha-zh
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tts-matcha-en
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tts-kokoro-en
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tts-kokoro-zh-en
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speech-enhancement-gtcrn
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decode-file-sense-voice-with-hr
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test-version
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zipformer-ctc-asr
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dolphin-ctc-asr
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