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gtcrn-stream
andrelgomes/gtcrn-stream
gtcrn-stream is a machine learning model from andrelgomes. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Verbatim mirror of the upstream GTCRN streaming ONNX model from Xiaobin-Rong/gtcrn (stream/onnxmodels/gtcrnsimple.onnx, trained on DNS3).
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Updated Jul 21, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- Jul 21, 2026
- Updated
- Jul 21, 2026
- SHA
- af53b933
Model card
From the Hugging Face model README
gtcrn-stream
Verbatim mirror of the upstream GTCRN streaming ONNX model from
Xiaobin-Rong/gtcrn
(stream/onnx_models/gtcrn_simple.onnx, trained on DNS3).
Re-hosted here so it resolves through the same HF Hub cache / HF_HUB_OFFLINE=1
path as every other model in the uri/rei stack (mic_capture [denoise.model]).
gtcrn_simple.onnx— simplified streaming graph, 16 kHz native, ~24 K params. Inputs:mix[1,257,1,2],conv_cache[2,1,16,16,33],tra_cache[2,3,1,1,16],inter_cache[2,1,33,16]. Outputs:enh+*_outcaches. STFT: n_fft 512, hop 256, sqrt-Hann window.
License: MIT (upstream).
- License
- mit
- Created
- Jul 21, 2026
- Updated
- Jul 21, 2026