Classification of stress in speech using linear and nonlinear 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::Signal processing
• Online Access: https://hdl.handle.net/10356/90922; http://hdl.handle.net/10220/5964
• Institution: Nanyang Technological University

In this paper, three systems for classification of stress in speech are proposed. The first system makes use of linear short time Log Frequency Power Coefficients (LFPC), the second employs Teager Energy Operator (TEO) based Nonlinear Frequency Domain LFPC features (NF...