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eess.AS2025
Code Drift: Towards Idempotent Neural Audio Codecs
Patrick O'Reilly, Prem Seetharaman, Jiaqi Su +2
Neural codecs have demonstrated strong performance in high-fidelity compression of audio signals at low bitrates. The token-based representations produced by these codecs have prov…
eess.AS2025
HARP 2.0: Expanding Hosted, Asynchronous, Remote Processing for Deep Learning in the DAW
Christodoulos Benetatos, Frank Cwitkowitz, Nathan Pruyne +4
HARP 2.0 brings deep learning models to digital audio workstation (DAW) software through hosted, asynchronous, remote processing, allowing users to route audio from a plug-in inter…
eess.AS2025
Text2FX: Harnessing CLAP Embeddings for Text-Guided Audio Effects
Annie Chu, Patrick O'Reilly, Julia Barnett +1
This work introduces Text2FX, a method that leverages CLAP embeddings and differentiable digital signal processing to control audio effects, such as equalization and reverberation,…