Voice-based gender identification in multimedia applications
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
Gender Recognition Based on Fusion of Face and Multi-view Gait
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A study on gait-based gender classification
IEEE Transactions on Image Processing
Voice-based gender identification via multiresolution frame classification of spectro-temporal maps
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Language independent voice-based gender identification system
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Neuro-fuzzy-based biometric system using speech features
International Journal of Biometrics
Practical considerations for real-time implementation of speech-based gender detection
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Digital Signal Processing
International Journal of Speech Technology
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In the context of content-based multimedia indexing gender identification using speech signal is an important task. Existing techniques are dependent on the quality of the speech signal making them unsuitable for the video indexing problems. In this paper we introduce a novel gender identification approach based on a general audio classifier. The audio classifier models the audio signal by the first order spectrum's statistics in 1s windows and uses a set of neural networks as classifiers. The presented technique shows robustness to adverse audio compression and it is language independent. We show how practical considerations about the speech in audio-visual data, such as the continuity of speech, can further improve the classification results which attain 92%.