Abstract
People usually estimate other people s age based on multiple aging traits, such as face, voice, gait, hair, and body build. However, almost all existing work on automatic age estimation is based on unimodal traits. This paper presents one of the first attempts toward multimodal automatic age estimation, which is based on the fusion of face and voice. The age estimators based on face and voice are all trained by the IIS-LLD algorithm, and the fusion is at the score level through weighted sum. Experimental results show that the fusion of face and voice can achieve better age estimation performance than that based on face only.
| Original language | English |
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| Title of host publication | Proceedings of the 3rd International Conference on Computer Design and Applications |
| Editors | Z X Yin |
| Place of Publication | Singapore |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 311 - 314 |
| Number of pages | 4 |
| Volume | 4 |
| ISBN (Print) | 9781424494897 |
| Publication status | Published - 2011 |
| Event | International Conference on Computer Design and Application (ICCDA 2011) - Shanxi Normal University, Xi'an, China Duration: 27 May 2011 → 27 May 2011 Conference number: 3rd |
Conference
| Conference | International Conference on Computer Design and Application (ICCDA 2011) |
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| Abbreviated title | ICCDA 2011 |
| Country/Territory | China |
| City | Xi'an |
| Period | 27/05/11 → 27/05/11 |