Grants per year
Personal profile
Research Interests
Professor Pardo develops new methods in Machine Learning, Signal Processing and Human Computer Interaction to make new tools for understanding and manipulating sound. Ongoing research in his lab is applied to audio scene labeling, audio source separation, inclusive interfaces, new audio production tools and machine audition models that learn without supervision.
Education/Academic qualification
Computer Science and Engineering, PhD, University of Michigan
… → 2005
Jazz and Improvisation, MMus, University of Michigan
… → 2001
Computer Science, MS, Ohio State University
… → 1993
Jazz Composition, BMus, Ohio State University
… → 1990
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Collaborative Research: FW-HTF-R: Toward an Ecosystem of Artificial-intelligence-powered Music Production (TEAMuP)
University of Rochester, National Science Foundation
10/1/22 → 9/30/25
Project: Research project
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Collaborative Research: FW-HTF-R: Toward an Ecosystem of Artificial-intelligence-powered Music Production (TEAMuP)
10/1/22 → 9/30/26
Project: Research project
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CHS: Medium: Next Generation Content Production Tools for People with Vision Impairments
Gergle, D., Piper, A. M., Gergle, D. & Pardo, B. A.
10/1/19 → 9/30/23
Project: Research project
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III: Small: Collaborative Research: Algorithms for Query by Example of Audio Databases
9/1/16 → 8/31/20
Project: Research project
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REU Supplement III: Small: Collaborative Research: Algorithms for Query by Example of Audio Databases
9/1/16 → 8/31/20
Project: Research project
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EFFECTIVE AND INCONSPICUOUS OVER-THE-AIR ADVERSARIAL EXAMPLES WITH ADAPTIVE FILTERING
O'Reilly, P., Awasthi, P., Vijayaraghavan, A. & Pardo, B., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6607-6611 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
IMPROVING SOURCE SEPARATION BY EXPLICITLY MODELING DEPENDENCIES BETWEEN SOURCES
Manilow, E., Hawthorne, C., Huang, C. Z. A., Pardo, B. & Engel, J., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 291-295 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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SOURCE SEPARATION BY STEERING PRETRAINED MUSIC MODELS
Manilow, E., O'Reilly, P., Seetharaman, P. & Pardo, B., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 126-130 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
VoiceBlock: Privacy through Real-Time Adversarial Attacks with Audio-to-Audio Models
O'Reilly, P., Bugler, A., Bhandari, K., Morrison, M. & Pardo, B., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Context-Aware Prosody Correction for Text-Based Speech Editing
Morrison, M., Rencker, L., Jin, Z., Bryan, N. J., Caceres, J. P. & Pardo, B., 2021, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2021-June, p. 7038-7042 5 p.Research output: Contribution to journal › Conference article › peer-review
11 Scopus citations
Datasets
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VocalSketch Data Set v1.0.4
Cartwright, M. (Contributor) & Pardo, B. A. (Contributor), ZENODO, Jan 9 2015
DOI: 10.5281/zenodo.13862, https://zenodo.org/record/13862
Dataset
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Enhanced RAVDESS Speech Dataset
Morrison, M. (Contributor), Bryan, N. J. (Contributor), Caceres, J. (Contributor) & Pardo, B. A. (Contributor), ZENODO, May 24 2021
DOI: 10.5281/zenodo.4783521, https://zenodo.org/record/4783521
Dataset
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Segmented DAPS (Device and Produced Speech) Dataset
Morrison, M. (Contributor), Bryan, N. J. (Contributor), Caceres, J. (Contributor) & Pardo, B. A. (Contributor), ZENODO, May 24 2021
DOI: 10.5281/zenodo.4783456, https://zenodo.org/record/4783456
Dataset