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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Grants
CHS: Medium: Next Generation Content Production Tools for People with Vision Impairments
Gergle, D., Piper, A. M. & Pardo, B. A.
10/1/19 → 9/30/23
Project: Research project
III: Small: Collaborative Research: Algorithms for Query by Example of Audio Databases
9/1/16 → 8/31/20
Project: Research project
REU Supplement III: Small: Collaborative Research: Algorithms for Query by Example of Audio Databases
9/1/16 → 8/31/20
Project: Research project
Participant Support Subproject for CHS:Small: Robust Interactive Audio Source Separation
10/1/14 → 9/30/18
Project: Research project
REU for CHS:Small: Robust Interactive Audio Source Separation
10/1/14 → 9/30/18
Project: Research project
Research Output
Vroom! A search engine for sounds by vocal imitation queries
Zhang, Y., Hu, J., Zhang, Y., Pardo, B. & Duan, Z., Mar 14 2020, CHIIR 2020 - Proceedings of the 2020 Conference on Human Information Interaction and Retrieval. Association for Computing Machinery, Inc, p. 23-32 10 p. (CHIIR 2020 - Proceedings of the 2020 Conference on Human Information Interaction and Retrieval).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
Bootstrapping Single-channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures
Seetharaman, P., Wichern, G., Le Roux, J. & Pardo, B., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 356-360 5 p. 8683198. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3
Scopus
citations
Improving Content-based Audio Retrieval by Vocal Imitation Feedback
Kim, B. & Pardo, B. A., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4100-4104 5 p. 8683461. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2
Scopus
citations
Multi-resolution common fate transform
Pishdadian, F. & Pardo, B. A., Feb 2019, In : IEEE/ACM Transactions on Audio Speech and Language Processing. 27, 2, p. 342-354 13 p., 8516327.Research output: Contribution to journal › Article
Recent Advances in Music Signal Processing [From the Guest Editors]
Müller, M., Pardo, B. A., Mysore, G. J. & Valimaki, V., Jan 2019, In : IEEE Signal Processing Magazine. 36, 1, p. 17-19 3 p., 8588415.Research output: Contribution to journal › Editorial
1
Scopus
citations