ybourdin/sptmod
A deep learning model for dynamic range compression modeling. Accompanying repository of the DAFx 2025 paper "Empirical Results for Adjusting Truncated Backpropagation Through Time while Training Neural Audio Effects".
This project offers a specialized deep learning model for dynamic range compression, a key process in audio production. It takes raw audio and applies advanced compression to produce sound examples with adjusted dynamics, useful for researchers and audio engineers exploring neural audio effects. The primary users are researchers in digital audio effects or practitioners interested in cutting-edge audio processing.
Use this if you are a researcher or advanced audio engineer looking to implement or study dynamic range compression using deep learning models.
Not ideal if you are a musician or producer seeking a user-friendly, off-the-shelf audio effect plugin for immediate use.
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Python
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Last pushed
Dec 15, 2025
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