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--- |
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license: other |
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license_name: aplux-model-farm-license |
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license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf |
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pipeline_tag: automatic-speech-recognition |
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tags: |
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- AIoT |
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- QNN |
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--- |
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## WeNet: ASR |
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WeNet is an open-source end-to-end (E2E) automatic speech recognition (ASR) model designed to provide efficient, accurate, and flexible speech recognition capabilities. Developed by Tencent AI Lab, WeNet achieves a unified architecture between streaming and non-streaming recognition. It adopts the U2++ (Unified Streaming and Non-streaming Model) framework, enabling both real-time streaming recognition and high-precision offline recognition, while avoiding the complexity of training separate models for streaming and non-streaming ASR in traditional approaches. |
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### Source model |
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- Input shape: Dynamic input |
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- Number of parameters: --,-- |
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- Model size: 365M |
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- Output shape: Dynamic output |
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The source model can be found [here](https://github.com/wenet-e2e/wenet/tree/main) |
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## Performance Reference |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## Inference & Model Conversion |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## License |
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- Source Model: [APACHE-2.0](https://github.com/wenet-e2e/wenet/blob/main/LICENSE) |
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- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf) |
