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Open Universe

This repository contains the configurations and weights for the UNIVERSE++ and UNIVERSE models implemented in open-universe.

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Sep 18, 2026
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Hugging Face

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This repository contains the configurations and weights for the UNIVERSE++ and UNIVERSE models implemented in open-universe.

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Hugging FacePrimaryVersion 50c7cdeeee19eda350f14cbdec63c37f402b8194
huggingface.co/line-corporation/open-universe/tree/50c7cdeeee19eda350f14cbdec63c37f402b8194

Verified Sep 18

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weights.ckpt

ckpt · 978 MB · SHA-256 0d90ab343c86…879c · Hugging Face

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--- language: - "en" thumbnail: tags: - audio-to-audio - Speech Enhancement - Voicebank-DEMAND - UNIVERSE - UNIVERSE++ - Diffusion - pytorch - open-universe license: "apache-2.0" datasets: - Voicebank-DEMAND metrics: - SI-SNR - PESQ - SIG - BAK - OVRL model-index: - name: universe++ results: - task: name: Speech Enhancement type: speech-enhancement dataset: name: DEMAND type: demand split: test-set args: language: en metrics: - name: DNSMOS SIG type: sig value: '3.493' - name: DNSMOS BAK type: bak value: '4.042' - name: DNSMOS OVRL type: ovrl value: '3.205' - name: PESQ type: pesq value: 3.017 - name: SI-SDR type: si-sdr value: 18.629 --- # open-universe: Generative Speech Enhancement with Score-based Diffusion and Adversarial Training This repository contains the configurations and weights for the [UNIVERSE++](https://arxiv.org/abs/2406.12194) and [UNIVERSE](https://arxiv.org/abs/2206.03065) models implemented in [open-universe](https://github.com/line/open-universe). The models were trained on the [Voicebank-DEMAND](https://datashare.ed.ac.uk/handle/10283/2791) dataset at 16 kHz. The performance on the test split of Voicebank-DEMAND is given in the following table. | model | si-sdr | pesq-wb | stoi-ext | lsd | lps | OVRL | SIG | BAK | |------------|----------|-----------|------------|-------|-------|--------|-------|-------| | UNIVERSE++ | 18.624 | 3.017 | 0.864 | 4.867 | 0.937 | 3.200 | 3.489 | 4.040 | | UNIVERSE | 17.600 | 2.830 | 0.844 | 6.318 | 0.920 | 3.157 | 3.457 | 4.013 | ## Usage Start by installing `open-universe`. We use conda to simplify the installation. ```sh git clone https://github.com/line/open-universe.git cd open-universe conda env create -f environment.yaml conda activate open-universe python -m pip install . ``` Then the models can be used as follows. ```sh # UNIVERSE++ (default model) python -m open_universe.bin.enhance <input/folder> <output/folder> \ --model line-corporation/open-universe:plusplus # UNIVERSE python -m open_universe.bin.enhance <input/folder> <output/folder> \ --model line-corporation/open-universe:original ``` ## Referencing open-universe and UNIVERSE++ If you use these models in your work, please consider citing the following paper. ```latex @inproceedings{universepp, authors={Scheibler, Robin and Fujita, Yusuke and Shirahata, Yuma and Komatsu, Tatsuya}, title={Universal...

Source context: 42 downloads · 4 likes · Pipeline audio-to-audio · Repo line-corporation/open-universe