Conference proceeding
Robot Audition and Beat Identification in Noisy Environments
2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, pp 2916-2921
01 Jan 2011
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In pursuit of our long-term goal of developing an interactive humanoid musician, we are developing robust methods to determine musical beat locations from live acoustic sources. A variety of beat tracking systems have been previously developed, but for the most part they are optimized for direct audio input (no acoustic channel and no noise). The presence of an acoustic channel and noise typically degrades performance substantially. A robot's motors, in particular, create non-stationary noise that can be difficult for a beat detection system to accommodate, Using an algorithm previously developed by the authors, we explore techniques for reducing the effects of the acoustic channel and noise on the system, enabling a humanoid to robustly follow music under realistic conditions.
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Details
- Title
- Robot Audition and Beat Identification in Noisy Environments
- Creators
- David K. Grunberg - Drexel UniversityDaniel M. Lofaro - Drexel UniversityPaul Y. Oh - Drexel UniversityYoungmoo E. Kim - Drexel UniversityIEEE
- Publication Details
- 2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, pp 2916-2921
- Series
- IEEE International Conference on Intelligent Robots and Systems
- Publisher
- IEEE
- Number of pages
- 6
- Grant note
- National Science Foundation; National Science Foundation (NSF) 0730206 / US PIRE NSF
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000297477503041
- Other Identifier
- 991019170595304721
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- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Engineering, Electrical & Electronic
- Robotics