Detection of stress and emotion in speech using traditional and FFT based log energy features
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...
Saved in:
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: | |
Online Access: | https://hdl.handle.net/10356/90833 http://hdl.handle.net/10220/4631 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Classification of stress in speech using linear and nonlinear features
by: Nwe, Tin Lay, et al.
Published: (2009) -
Speech based emotion classification
by: Tin, Lay Nwe, et al.
Published: (2009) -
Analysis and detection of human emotion and stress from speech signals
by: TIN LAY NWE
Published: (2010) -
Speech emotion analysis
by: Poh, Esther Ee Chen.
Published: (2009) -
Energy-efficient synchronous-logic and asynchronous-logic FFT/IFFT processors
by: Chong, Kwen-Siong, et al.
Published: (2009)