Acoustic and Spectral Analysis of Kannada Emotional
Speech
Journal:
GRENZE International Journal of Computer Theory and Engineering
Authors:
Geethashree A, D.J Ravi
Volume:
3
Issue:
2
Grenze ID:
01.GIJCTE.3.2.7
Pages:
14-21
Abstract
Emotion plays a significant role in communication. This work deals with an analysis of the
sets of Kannada emotional sentences uttered by two speakers (one Male and one female). The data set
used in this analysis is from KES (Kannada Emotional Speech) database, which consists of neutral,
happy, sadness, anger and fear emotional sentences. The emotional analysis of acoustic features on KES
database is carried out to build an effective emotion recognition and emotion conversion system. The
features used of analysis of emotional speech are pitch, duriation, intensity, formats and spectral
energy at sentence level. Results shown that prosodic and spectral parameters play significant role in
expression of emotions. The acoustic values are in correspondence with the general knowledge for male
and female voices. The analysis result obtained will be used for emotional speech conversion.t