{Sound source localization using sparse coding and SOM}
| Type of publication: | Inproceedings |
| Citation: | Kim2009 |
| Booktitle: | 2009 IEEE Conference on Emerging Technologies \& Factory Automation |
| Year: | 2009 |
| Month: | September |
| Pages: | 1--7 |
| Publisher: | Ieee |
| ISBN: | 978-1-4244-2727-7 |
| URL: | http://ieeexplore.ieee.org/lpd... |
| DOI: | 10.1109/etfa.2009.5347025 |
| Abstract: | Many kinds of sound source localization systems have been developed for detecting a direction of sound source. They are commonly using time delay of arrival (TDOA) or interaural time difference (ITD) algorithm for sound source localization where, especially, the ITD is the dif- ference in arrival time of a sound between two ears. It is largely changed depending on frequency components of sound even though the sound source is located in the same place. In this paper we propose a binaural sound localization system using sparse coding based ITD (S- ITD) and self-organizing map (SOM). The sparse coding is used for decomposing given sounds into three compo- nents: time, frequency and magnitude. Moreover we es- timate the azimuth angle through the SOM. This local- ization system is installed in our robot that has two ears, head and body. We use PeopleBot as a body of the robot. |
| Userfields: | bdsk-url-1={http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5347025}, bdsk-url-2={http://dx.doi.org/10.1109/ETFA.2009.5347025}, date-added={2012-09-23 10:50:23 +0200}, date-modified={2012-09-23 10:50:23 +0200}, file={:home/jim/Desktop/sortedLiterature/sound localization/2009-Sound Source Localization Using Sparse Coding and SOM.pdf:pdf}, project={fremdliteratur}, |
| Keywords: | PeopleBot, Self-Organizing-Maps, Sound Localization, Sparse Coding |
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