Name
Abstract | ||
|---|---|---|
This paper is concerned with a text-independent Speaker's gender Identification (GI) for Human-Robot Interaction (HRI). For this purpose, we perform speaker's gender recognition based on Gaussian Mixture Model (GMM) and use robot platform called WEVER, which is a Ubiquitous Robotic Companion (URC) intelligent service robot developed at Intelligent Robot Research Division in Electronics and Telecommunication Research Institute (ETRI). Furthermore, we communicate with intelligent service robots through a Korean-based spontaneous speech recognition and text-independent speaker's gender identification to provide a suitable service such as selection of preferable TV channel or music for the identified speaker's gender. The experimental results obtained for ETRI speaker database reveal that the approach presented in this paper yields a good identification (94.9%) performance within 3 meter. |
Year | Venue | Keywords |
|---|---|---|
2006 | SIGMAP 2006: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS | Gender Identification,GMM,URC |
Field | DocType | Citations |
Computer vision,Computer science,Human–computer interaction,Artificial intelligence,Human–robot interaction | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyungsook Bae | 1 | 0 | 0.68 |
| Keun-chang Kwak | 2 | 361 | 32.96 |
| Soo-young Chi | 3 | 0 | 1.35 |