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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mosadeghzad, M. Rea, F. Tata, M.S. Brayda, L. Sandini, G. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Robot., Brain & Cognitive Sci., Ist. Italiano di Tecnol., Genoa, Italy (Rea, F.; Brayda, L.; Sandini, G.) || Canadian Centre for Behavioural Neurosci., Univ. of Lethbridge, Lethbridge, AB, Canada (Mosadeghzad, M.; Tata, M.S.) |
| Abstract | This work presents a biologically inspired solution to problems that arise in multisensory attention, with a specific application to binaural humanoid robotics. The focus was on using only two microphones as an analogy to mammalian auditory system. The goal was to localize a salient sound source and to fuse this information with a visual-salience feature selection system. We describe a method to select task-relevant sounds in the auditory scene using both interaural time difference (ITD), inspired by the work of Jeffress and Konishi in the avian auditory system. We modelled the well-studied coincidence detectors of the barn owl as banks of frequency-tuned delay-and-sum beamformers, with frequency decomposition based on a Gammatone model of the human cochlea. Furthermore, we developed a useful metric of auditory salience that emphasized onsets of spectrally complex sounds. Finally, we developed an interface between this auditory-salience based attention orienting system and an existing visual-salience based attention system on the iCub humanoid robot. We demonstrate that the iCub is capable of behaviours that would be impossible without fusion of auditory and visual attention. |
| Starting Page | 362 |
| Ending Page | 367 |
| File Size | 1738422 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479977727 |
| DOI | 10.1109/MFI.2015.7295835 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-09-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Microphones Robot sensing systems Acoustic beams Auditory system Humanoid robots |
| Content Type | Text |
| Resource Type | Article |
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