Audio-visual gender recognition

Ming Liu; Xun Xu; Thomas S. Huang

doi:10.1117/12.774687

15 November 2007 Audio-visual gender recognition

Ming Liu, Xun Xu, Thomas S. Huang

Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 678803 (2007) https://doi.org/10.1117/12.774687
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Combining different modalities for pattern recognition task is a very promising field. Basically, human always fuse information from different modalities to recognize object and perform inference, etc. Audio-Visual gender recognition is one of the most common task in human social communication. Human can identify the gender by facial appearance, by speech and also by body gait. Indeed, human gender recognition is a multi-modal data acquisition and processing procedure. However, computational multimodal gender recognition has not been extensively investigated in the literature. In this paper, speech and facial image are fused to perform a mutli-modal gender recognition for exploring the improvement of combining different modalities.

Citation Download Citation

Ming Liu, Xun Xu, and Thomas S. Huang "Audio-visual gender recognition", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 678803 (15 November 2007); https://doi.org/10.1117/12.774687

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