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
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CHS: Medium: Next Generation Content Production Tools for People with Vision Impairments
Gergle, D., Piper, A. M., Pardo, B. A. & Gergle, D.
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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Participant Support Subproject for CHS:Small: Robust Interactive Audio Source Separation
10/1/14 → 9/30/18
Project: Research project
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REU for CHS:Small: Robust Interactive Audio Source Separation
10/1/14 → 9/30/18
Project: Research project
Research Output
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Autoclip: Adaptive gradient clipping for source separation networks
Seetharaman, P., Wichern, G., Pardo, B. & Roux, J. L., Sep 2020, Proceedings of the 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing, MLSP 2020. IEEE Computer Society, 9231926. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2020-September).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments
Manilow, E., Seetharaman, P. & Pardo, B., May 2020, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 771-775 5 p. 9054340. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
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
6 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