Fingerprint Dive into the research topics where Music and Performing Arts Professions is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Acoustic waves Engineering & Materials Science
acoustics Physics & Astronomy
Acoustics Engineering & Materials Science
music Physics & Astronomy
Computer music Engineering & Materials Science
Headphones Engineering & Materials Science
Impulse response Engineering & Materials Science
transfer functions Physics & Astronomy

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Research Output 1975 2019

Active Learning for Efficient Audio Annotation and Classification with a Large Amount of Unlabeled Data

Wang, Y., Mendez Mendez, A. E., Cartwright, M. & Bello, J., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 880-884 5 p. 8683063. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Acoustic waves
Costs
Sampling
Problem-Based Learning

A Music Structure Informed Downbeat Tracking System Using Skip-chain Conditional Random Fields and Deep Learning

Fuentes, M., McFee, B., Crayencour, H. C., Essid, S. & Bello, J., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 481-485 5 p. 8682870. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Deep learning
Experiments

Analysis and training of human sound localization behavior with VR application

Wu, Y. H. & Roginska, A., Jan 1 2019.

Research output: Contribution to conferencePaper

sound localization
virtual reality
stimuli
education
Acoustic waves