HARP 2.0: Expanding Hosted, Asynchronous, Remote Processing for Deep Learning in the DAW

no code implementations • 4 Mar 2025 • Christodoulos Benetatos, Frank Cwitkowitz, Nathan Pruyne, Hugo Flores Garcia, Patrick O'Reilly, Zhiyao Duan, Bryan Pardo

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 interface through any compatible Gradio endpoint to perform arbitrary transformations.

Deep Learning

Exploring Musical Roots: Applying Audio Embeddings to Empower Influence Attribution for a Generative Music Model

no code implementations • 25 Jan 2024 • Julia Barnett, Hugo Flores Garcia, Bryan Pardo

Every artist has a creative process that draws inspiration from previous artists and their works.

VampNet: Music Generation via Masked Acoustic Token Modeling

1 code implementation • 10 Jul 2023 • Hugo Flores Garcia, Prem Seetharaman, Rithesh Kumar, Bryan Pardo

We introduce VampNet, a masked acoustic token modeling approach to music synthesis, compression, inpainting, and variation.

Music Compression Music Generation

Deep Learning Tools for Audacity: Helping Researchers Expand the Artist's Toolkit

no code implementations • 25 Oct 2021 • Hugo Flores Garcia, Aldo Aguilar, Ethan Manilow, Dmitry Vedenko, Bryan Pardo

We present a software framework that integrates neural networks into the popular open-source audio editing software, Audacity, with a minimal amount of developer effort.

Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition

1 code implementation • 14 Jul 2021 • Hugo Flores Garcia, Aldo Aguilar, Ethan Manilow, Bryan Pardo

Deep learning work on musical instrument recognition has generally focused on instrument classes for which we have abundant data.

Few-Shot Learning Instrument Recognition