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sigmos-onnx
TigreGotico/sigmos-onnx
sigmos-onnx is a machine learning model from TigreGotico. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for onnx. The card lists the license as mit.
Multi-dimensional non-intrusive speech quality prediction from Microsoft's Speech Signal Improvement Challenge. Mirrored unmodified for use by speechonnxmetrics.
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Public
Updated Jul 20, 2026
Repo size
26.3 MB
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At a glance
- Library
- onnx
- License
- mit
- Access
- Public
- Created
- Jul 20, 2026
- Updated
- Jul 20, 2026
- SHA
- 33ccd4fc
Model card
From the Hugging Face model README
SIGMOS (ONNX)
Multi-dimensional non-intrusive speech quality prediction from Microsoft's Speech Signal Improvement Challenge. Mirrored unmodified for use by speechonnxmetrics.
Upstream: microsoft/SIG-Challenge.
Licence: MIT (see LICENSE.txt).
Contract
model-sigmos_1697718653_41d092e8-epo-200.onnx
- Input
[batch, 3, time, 481]— compressed STFT at 48 kHz - Output 7 sub-scores, in order: COL, DISC, LOUD, NOISE, REVERB, SIG, OVRL
sigmos.py is the upstream reference frontend, kept alongside so the compressed-STFT
preprocessing can be reproduced exactly.
Citation
Ristea et al., ICASSP 2024 Speech Signal Improvement Challenge.
- Library
- onnx
- License
- mit
- Created
- Jul 20, 2026
- Updated
- Jul 20, 2026