Detection of stress and emotion in speech using traditional and FFT based log energy features

• Main Authors: Nwe, Tin Lay, Foo, Say Wei, De Silva, Liyanage C.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
• Online Access: https://hdl.handle.net/10356/90833; http://hdl.handle.net/10220/4631
• Institution: Nanyang Technological University

In this paper, a novel system for detection of human stress and emotion in speech is proposed. The system makes use of FFT based linear short time Log Frequency Power Coefficients (LFPC) and TEO based nonlinear LFPC features in both time and frequency domains. The performance of the proposed system...