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pa-audioic
CPJKU/pa-audioic
pa-audioic is a machine learning model from CPJKU. 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 cc-by-nc-4.0.
This repository contains weights for the perceptually aligned Music2Latent and autoregressive rectified flow models as described in Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders, Bjar…
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Updated Nov 17, 2025
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At a glance
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Nov 17, 2025
- Updated
- Nov 17, 2025
- SHA
- 917beb5f
Model card
From the Hugging Face model README
Perceptually Aligned Music2Latent
This repository contains weights for the perceptually aligned Music2Latent and autoregressive rectified flow models as described in Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders, Bjare et al., NeurIPS - AI for Music Workshop, 2025.
If you use this project in your research, please cite the following paper:
@inproceedings{
bjare2025perceptually,
title={Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders},
author={Mathias Rose Bjare and Giorgia Cantisani and Marco Pasini and Stefan Lattner and Gerhard Widmer},
booktitle={NeurIPS - AI for Music Workshop},
year={2025},
url={https://openreview.net/forum?id=rXUKO0ysUy}
}
License
This library is released under the CC BY-NC 4.0 license. Please refer to the LICENSE file for more details.
To obtain a commercial license, please contact [email protected].
- License
- cc-by-nc-4.0
- Created
- Nov 17, 2025
- Updated
- Nov 17, 2025