DSP Machine Learning Intern

Recent research work investigated deep learning methods for modeling audio effects, that is employing neural networks to emulate the behavior of audio hardware. In particular, a specific architecture was designed and proved to achieve good audio quality on the modeling of dynamic range compressors.

The trained models are implemented in Python, with PyTorch, and leverage GPUs to apply a large number of operations per output audio sample.