Abstract
Sound source localization (SSL) is a major function of robot auditory systems for intelligent home robots. The steered response power-phase transform (SRP-PHAT) is a widely used method for robust SSL. However, it is too slow to run in real time, since SRP-PHAT searches a large number of candidate sound source locations. This paper proposes a search space clustering method designed to speed up the SRPPHAT based sound source localization algorithm for intelligent home robots equipped with small scale microphone arrays. The proposed method reduces the number of candidate sound source locations by 30.6% and achieves 46.7% error reduction compared to conventional methods.
| Original language | English |
|---|---|
| Pages (from-to) | 1663-1668 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Consumer Electronics |
| Volume | 55 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2009 |
Bibliographical note
Funding Information:1This work was supported by the Korea Research Foundation Grant funded by the Korean Government (KRF-2006-311-D00822). It was also supported by the MKE (Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute for Information Technology Advancement) (IITA-2008-C1090-0803-0006).
Keywords
- Intelligent home robot
- Robot auditory system
- Search space clustering
- Small scale microphone array
- Sound source localization
- Steered response power (SRP)
ASJC Scopus subject areas
- Media Technology
- Electrical and Electronic Engineering