Faculty Directory

Bryan Pardo

Professor of Computer Science

Contact

2233 Tech Drive
Mudd Room 3115
Evanston, IL 60208-3109

847-491-7184Email Bryan Pardo

Website

Bryan Pardo's Homepage

Interactive Audio Lab

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Departments

Computer Science

Affiliations

Master of Science in Artificial Intelligence

Master of Science in Robotics Program

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Download CV

Education

PhD in Computer Science and Engineering, University of Michigan, Ann Arbor, MI

MMus in Jazz and Improvisation, University of Michigan, Ann Arbor, MI

MS in Computer Science, Ohio State University, Columbus, OH

BMus in Jazz Composition, Ohio State University, Columbus, OH

Research Interests

In addition to being co-director of the Northwestern University Center for Human Computer Interaction + Design, I head the Interactive Audio Lab. We make machines that understand and manipulate sound. To do this, we develop new methods in Machine Learning (e.g. automated gradient clipping), and Signal Processing (e.g. the Multi-scale Common-fate Transform) and apply them to new kinds of user interfaces and interactions. Examples include:

• Eyes-free tools for audio content creation (e.g. music, podcasts) that support creators with vision impairments
• A search engine to explore collections of sounds by using a sound as the search key
• Tools that automatically separate and transcribe music
• Tools to let you apply audio effects by specifying the goal in natural language
• Generative models for music co-creation
• Controllable speech generation
• Privacy from automated Voice Identification

When I'm not researching, you may find me teaching classes like Digital Luthier or Deep Learning.

I am also the faculty advisor for Latin@CS and chair the CS Diversity Committee.

When I'm not being an academic, I make music with the Latin Folk Fusion ensemble Son Monarcas.

For current projects please see my lab website at music.eecs.northwestern.edu

Selected Publications

• Manilow, Ethan; O'Reilly, Patrick; Seetharaman, Prem; Pardo, Bryan, SOURCE SEPARATION BY STEERING PRETRAINED MUSIC MODELS, Institute of Electrical and Electronics Engineers Inc. (2022).
• O'Reilly, Patrick; Awasthi, Pranjal; Vijayaraghavan, Aravindan; Pardo, Bryan, EFFECTIVE AND INCONSPICUOUS OVER-THE-AIR ADVERSARIAL EXAMPLES WITH ADAPTIVE FILTERING, Institute of Electrical and Electronics Engineers Inc. (2022).
• Manilow, Ethan; Hawthorne, Curtis; Huang, Cheng Zhi Anna; Pardo, Bryan; Engel, Jesse, IMPROVING SOURCE SEPARATION BY EXPLICITLY MODELING DEPENDENCIES BETWEEN SOURCES, Institute of Electrical and Electronics Engineers Inc. (2022).
• Morrison, Max; Rencker, Lucas; Jin, Zeyu; Bryan, Nicholas J.; Caceres, Juan Pablo; Pardo, Bryan, Context-Aware Prosody Correction for Text-Based Speech Editing, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2021-June:7038-7042 (2021).
• Manilow, Ethan; Seetharaman, Prem; Pardo, Bryan, Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments, Institute of Electrical and Electronics Engineers Inc.:771-775 (2020).
• Zhang, Yichi; Hu, Junbo; Zhang, Yiting; Pardo, Bryan; Duan, Zhiyao, Vroom!, Association for Computing Machinery, Inc:23-32 (2020).
• Kim, Bongjun; Pardo, Bryan, Sound event detection using point-labeled data, Institute of Electrical and Electronics Engineers Inc.:1-5 (2019).
• Seetharaman, Prem; Mysore, Gautham; Pardo, Bryan A; Smaragdis, Paris; Gomes, Celso, VoiceAssist, Association for Computing Machinery (2019).