PyNeuralFx: A Python Package for Neural Audio Effect Modeling
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866911984016949248 |
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| author | Yeh, Yen-Tung Hsiao, Wen-Yi Yang, Yi-Hsuan |
| author_facet | Yeh, Yen-Tung Hsiao, Wen-Yi Yang, Yi-Hsuan |
| contents | We present PyNeuralFx, an open-source Python toolkit designed for research on neural audio effect modeling. The toolkit provides an intuitive framework and offers a comprehensive suite of features, including standardized implementation of well-established model architectures, loss functions, and easy-to-use visualization tools. As such, it helps promote reproducibility for research on neural audio effect modeling, and enable in-depth performance comparison of different models, offering insight into the behavior and operational characteristics of models through DSP methodology. The toolkit can be found at https://github.com/ytsrt66589/pyneuralfx. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_06053 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PyNeuralFx: A Python Package for Neural Audio Effect Modeling Yeh, Yen-Tung Hsiao, Wen-Yi Yang, Yi-Hsuan Sound Audio and Speech Processing We present PyNeuralFx, an open-source Python toolkit designed for research on neural audio effect modeling. The toolkit provides an intuitive framework and offers a comprehensive suite of features, including standardized implementation of well-established model architectures, loss functions, and easy-to-use visualization tools. As such, it helps promote reproducibility for research on neural audio effect modeling, and enable in-depth performance comparison of different models, offering insight into the behavior and operational characteristics of models through DSP methodology. The toolkit can be found at https://github.com/ytsrt66589/pyneuralfx. |
| title | PyNeuralFx: A Python Package for Neural Audio Effect Modeling |
| topic | Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2408.06053 |