WeNet / README.md
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metadata
license: other
license_name: aplux-model-farm-license
license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
pipeline_tag: automatic-speech-recognition
tags:
  - AIoT
  - QNN

WeNet: ASR

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.

Source model

  • Input shape: Dynamic input
  • Number of parameters: --,--
  • Model size: 365M
  • Output shape: Dynamic output

The source model can be found here

Performance Reference

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Inference & Model Conversion

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License