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This PR adds support for streaming T-one Russian ASR models across various language bindings in the sherpa-onnx library. The changes enable T-one CTC (Connectionist Temporal Classification) model integration by adding new configuration structures and example implementations. - Introduces OnlineToneCtcModelConfig structures across all language bindings (C, C++, Swift, Java, Kotlin, Go, etc.) - Adds T-one CTC model support to WASM implementations for both ASR and keyword spotting - Provides comprehensive example implementations demonstrating T-one model usage in multiple programming languages
Introduction
This folder contains examples about using sherpa-onnx's object pascal APIs with streaming models for speech recognition.
| File | Description |
|---|---|
| run-paraformer.sh | Use a streaming Paraformer model for speech recognition |
| run-zipformer-ctc-hlg.sh | Use a streaming Zipformer CTC model for speech recognition |
| run-zipformer-ctc.sh | Use a streaming Zipformer CTC model with HLG for speech recognition |
| run-zipformer-transducer.sh | Use a Zipformer transducer model for speech recognition |
| run-nemo-transducer.sh | Use a NeMo transducer model for speech recognition |