Integrating audio and vision for robust automatic gender recognition
| Type of publication: | Idiap-RR |
| Citation: | Pronobis_Idiap-RR-73-2008 |
| Number: | Idiap-RR-73-2008 |
| Year: | 2008 |
| Month: | 11 |
| Institution: | Idiap |
| Abstract: | We propose a multi-modal Automatic Gender Recognition (AGR) system based on audio-visual cues and present its thorough evaluation in realistic scenarios. First, we analyze robustness of different audio and visual features under varying conditions and create two uni-modal AGR systems. Then, we build an integrated audio-visual system by fusing information from each modality at the classifier level. Our extensive studies on the BANCA corpus comprising datasets of varying complexity show that: (a) the audio-based system is more robust than the vision-based system; (b) integration of audio-visual cues yields a resilient system and improves performance in noisy conditions. |
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| Projects |
Idiap AMIDA |
| Authors | |
| Added by: | [ADM] |
| Total mark: | 0 |
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