Improved gender/age recognition system using arousal-selection and feature-selection schemes

• Published in: International Conference on Digital Signal Processing proceedings pp. 148 - 152
• Main Authors: Chen, Oscal T.-C, Jhen Jhan Gu
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 09.09.2015
• Subjects: Accuracy; Age; age recognition; arousal; Digital signal processing; Estimation; Feature extraction; feature selection; Frames; Gaussian mixture model; gender identification; Jitter; Moods; Probability density function; Recognition; Speech; Speech recognition

This work proposes the arousal-selection and feature-selection schemes to improve speaker's gender and age identification performance. Our previous results showed that gender and age recognition rates would increase as affective stimulation degrees were lower and higher, respectively. Consideri...