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PyNeuralFx: A Python Package for Neural Audio Effect Modeling

Sound 2024-08-13 v1 Audio and Speech Processing

Abstract

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.

Keywords

Cite

@article{arxiv.2408.06053,
  title  = {PyNeuralFx: A Python Package for Neural Audio Effect Modeling},
  author = {Yen-Tung Yeh and Wen-Yi Hsiao and Yi-Hsuan Yang},
  journal= {arXiv preprint arXiv:2408.06053},
  year   = {2024}
}

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toolkit paper