Offline RKNN Multilingual ASR Rk3576

Offer description

I need an end-to-end voice command system that runs entirely offline on a Rockchip board using the RKNN NPU. The solution must automatically identify the spoken language and then recognise a fixed set of voice commands without falling back to any cloud service. Target hardware The model will run on an embedded system powered by a Rockchip NPU (RK3588 / RK3568 class). Please optimise with RKNN-Toolkit and supply the final *.rknn file together with conversion scripts so I can reproduce the build from the original TensorFlow / PyTorch / ONNX model. Languages and use-case focus • Automatic language ID for: English, Mandarin Chinese, Cantonese, Thai, Korean, Japanese and Malay. • After language detection, the engine should map the utterance to a command ID (no large-vocabula...

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