dnsmos-onnx

TigreGotico/dnsmos-onnx

dnsmos-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.

Non-intrusive speech quality prediction from Microsoft's Deep Noise Suppression Challenge. Mirrored unmodified for use by speechonnxmetrics.

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Public

Updated Jul 20, 2026

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4 MB

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Public

Hugging Face

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.onnx4 MB · 100%

At a glance

Library: onnx
License: mit
Access: Public
Created: Jul 20, 2026
Updated: Jul 20, 2026
SHA: 27691a53

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Model card

From the Hugging Face model README

DNSMOS (ONNX)

Non-intrusive speech quality prediction from Microsoft's Deep Noise Suppression Challenge. Mirrored unmodified for use by speechonnxmetrics.

Upstream: microsoft/DNS-Challenge, also distributed in the speechmos PyPI package. Licence: MIT (see LICENSE.txt).

Files

file	input	output
`sig_bak_ovr.onnx`	raw waveform `[N, 144160]` @ 16 kHz	`[N, 3]` — SIG, BAK, OVRL (P.835)
`model_v8.onnx`	`[N, 900, 120]`	`[N, 1]` — P.808 MOS
`sig.onnx`	`[N, 901, 161]`	`[N, 1]`
`bak_ovr.onnx`	`[N, 901, 161]`	`[N, 3]`
`personalized/pdnsmos_sig_bak_ovr.onnx`	raw waveform `[N, 144160]` @ 16 kHz	`[N, 3]`

Raw model outputs require the upstream polynomial score mapping to become MOS values.

Citation

Reddy et al., DNSMOS: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors, ICASSP 2021.

Library: onnx
License: mit
Created: Jul 20, 2026
Updated: Jul 20, 2026