Patrick O'Reilly

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I am a doctoral student in the Department of Computer Science at Northwestern University and a member of the Interactive Audio Lab. I received a BA in Mathematics and Music from Carleton College and an MS in Computer Science from the University of Illinois at Chicago. My research interests include content provenance and authenticity for generative models, machine learning techniques for controllable audio generation, music information retrieval, and adversarial robustness for audio interfaces.

Research Playlist

Masked Token Modeling for Zero-Shot Anything-to-Drums Conversion

Patrick O’Reilly, Hugo Flores Garcia, Prem Seetharaman, Bryan Pardo

Abstract (ISMIR 2024 Late-Breaking Demo) · Project Page · Copy BibTeX

Code Drift: Towards Idempotent Neural Audio Codecs

Patrick O’Reilly, Prem Seetharaman, Jiaqi Su, Zeyu Jin, Bryan Pardo

Preprint · Project Page · Copy BibTeX

Text2FX: Harnessing CLAP Embeddings for Text-Guided Audio Effects

Annie Chu, Patrick O’Reilly, Julia Barnett, Bryan Pardo

Preprint · Copy BibTeX

MaskMark: Robust Neural Watermarking for Real and Synthetic Speech

Patrick O’Reilly, Zeyu Jin, Jiaqi Su, Bryan Pardo

Paper (ICASSP 2024) · Project Page · Copy BibTeX

HARP: Bringing Deep Learning to the DAW with Hosted, Asynchronous, Remote Processing

Hugo Flores Garcia, Christodoulos Benetatos, Patrick O’Reilly, Aldo Aguilar, Zhiyao Duan, Bryan Pardo

Paper (NeurIPS 2023 MLCD Workshop) · Project Page · Code · Copy BibTeX

VoiceBlock: Privacy through Real-Time Adversarial Attacks with Audio-to-Audio Models

Patrick O'Reilly, Andreas Bugler, Keshav Bhandari, Max Morrison, Bryan Pardo

Paper (NeurIPS 2022) · Project Page · Video · Code · Copy BibTeX

Effective and Inconspicuous Over-the-Air Adversarial Examples with Adaptive Filtering

Patrick O'Reilly, Pranjal Awasthi, Aravindan Vijayaraghavan, Bryan Pardo

Paper (ICASSP 2022) · Project Page · Talk @ BishBash · Code · Copy BibTeX

Unsupervised Source Separation By Steering Pretrained Music Models

Ethan Manilow, Patrick O'Reilly, Prem Seetharaman, Bryan Pardo

Paper (ICASSP 2022) · Project Page · Code · Copy BibTeX

Audio summaries generated by Google NotebookLM

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