Audio xLSTMs: Learning Self-supervised audio representations with xLSTMs
This is a community based approach to an implementation mostly for practice. I will implement the model architecture as defined in the paper but will leave someone else to implement the training script! So please create a training script if you have the time and energy
License
MIT
Citation
@article{xlstm,
title={xLSTM: Extended Long Short-Term Memory},
author={Beck, Maximilian and P{\"o}ppel, Korbinian and Spanring, Markus and Auer, Andreas and Prudnikova, Oleksandra and Kopp, Michael and Klambauer, G{\"u}nter and Brandstetter, Johannes and Hochreiter, Sepp},
journal={arXiv preprint arXiv:2405.04517},
year={2024}
}
1 maintainer
Metadata
1 maintainer
Release files for audio-xlstm 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| audio_xlstm-0.0.1.tar.gz | 8.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| audio_xlstm-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.5 kB
Release files / audio_xlstm-0.0.1.tar.gz
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Release files / audio_xlstm-0.0.1-py3-none-any.whl
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