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README.md

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+---
+license: apache-2.0
+language:
+- zh
+base_model:
+- csukuangfj/WSChuan-ASR
+pipeline_tag: automatic-speech-recognition
+tags:
+- sherpa-onnx
+- axera
+- ax650
+- axmodel
+- paraformer
+- asr
+- speech-recognition
+- chinese
+- pulsar2
+---
+
+# sherpa-onnx-paraformer-ax650
+
+Paraformer-large-Chuan Chinese ASR model converted to AX650 AXMODEL for on-device inference via sherpa-onnx.
+
+## Model Details
+
+- **Original Model**: [csukuangfj/WSChuan-ASR](https://hf-mirror.com/csukuangfj/WSChuan-ASR)
+- **Architecture**: Paraformer (SAN-M encoder + CIF predictor + SAN-M decoder)
+- **Task**: Chinese speech recognition (ASR)
+- **Sample rate**: 16000 Hz
+- **Input**: 5-second fixed length audio chunks
+- **Vocabulary**: 8404 tokens
+- **LFR**: window=7, shift=6
+- **Target Chip**: AX650 (NPU3)
+
+## Files
+
+| File | Precision | Size | Description |
+|------|-----------|------|-------------|
+| `encoder-5-seconds.axmodel` | INT8 | 165 MB | Encoder [1,83,560]→[1,83,512] |
+| `predictor-5-seconds.axmodel` | INT8 | 831 KB | Predictor [1,83,512]→[1,83] |
+| `decoder-5-seconds.axmodel` | INT8 | 60 MB | Decoder [1,83,512]×3→[1,83,8404] |
+
+## Performance
+
+| Metric | Value |
+|--------|-------|
+| RTF | 0.007 |
+| Pulsar2 Version | 6.0 (commit 48520c11) |
+
+## Usage with sherpa-onnx
+
+```bash
+./sherpa-onnx-offline \
+  --tokens=tokens.txt \
+  --paraformer=encoder-5-seconds.axmodel,predictor-5-seconds.axmodel,decoder-5-seconds.axmodel \
+  --provider=axera \
+  audio.wav
+```
+
+## Known Limitations
+
+- INT8 quantization may cause accuracy loss; recognition output may be empty or partially missing
+- Fixed 5-second input length; longer audio requires external chunking
+- For higher accuracy, use U16 encoder + FP32 predictor + FP32 decoder variants
+
+## Conversion Details
+
+- **Pulsar2 Version**: 6.0 (48520c11)
+- **Calibration**: MinMax with 10 samples
+- **Quantization**: INT8
+
+## License
+
+Apache 2.0

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