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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, The Ohio State University

… → 1993

Jazz Composition, BMus, The Ohio State University

… → 1990

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Grants

  • Research Output

    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 proceedingConference contribution

  • 2 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 proceedingConference contribution

  • 1 Scopus citations

    Multi-resolution common fate transform

    Pishdadian, F. & Pardo, B. A., Feb 1 2019, In : IEEE/ACM Transactions on Audio Speech and Language Processing. 27, 2, p. 342-354 13 p., 8516327.

    Research output: Contribution to journalArticle

  • 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 journalEditorial

    Siamese Style Convolutional Neural Networks for Sound Search by Vocal Imitation

    Zhang, Y., Pardo, B. A. & Duan, Z., Feb 2019, In : IEEE/ACM Transactions on Audio Speech and Language Processing. 27, 2, p. 429-441 13 p., 8453811.

    Research output: Contribution to journalArticle