HARP 3.0: Generalizing I/O and API Support for Machine Learning in Digital Audio Workstations
Frank Cwitkowitz · Christodoulos Benetatos · Qixin Deng · Huiran Yu · Nathan Pruyne · Patrick O'Reilly · Hugo Flores · Zhiyao Duan · Bryan Pardo
Abstract
HARP is a framework that integrates deep learning models into digital audio workstations (DAWs) through hosted, asynchronous, remote processing, allowing users to access state-of-the-art models without leaving their production environment. In HARP 3.0, we introduce generalized input–output handling for audio, MIDI, and text; expand API compatibility beyond Gradio to include providers such as Stability AI; and add workflow features such as a media clipboard for storing and reusing processed files. These extensions make HARP 3.0 a more versatile and extensible platform for creative audio applications. HARP is open source and available for download at https://github.com/TEAMuP-dev/HARP.
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