Work place: Computer & Information Systems Engineering, N.E.D University of Engg. & Tech., Karachi, Pakistan
E-mail: saaj.research@gmail.com
Website:
Research Interests: Speech Synthesis, Speech Recognition, Computer Architecture and Organization, Computational Learning Theory, Computer systems and computational processes, Computational Engineering
Biography
Syed Abbas Ali received his B.E. and M.Engg. degrees in Computer Systems & Electrical Engineering from the N.E.D University of Engineering & Technology, Pakistan, in 1999 and 2002 respectively. Also, he received Ph.D. degree in Computer Science from N.E.D University of Engineering & Technology, Pakistan, in 2015. Since 2005, he has been working as an Assistant Professor in Department of Computer & Information Systems Engineering, Faculty of N.E.D University. His current research interests include Machine Learning & Speech Recognition, Speech Emotion Recognition and Computational Intelligence.
By Syed Abbas Ali Maria Andleeb Danish ur Rehman
DOI: https://doi.org/10.5815/ijigsp.2016.04.06, Pub. Date: 8 Apr. 2016
Speech emotions have potential to provide valuable source of information which can lead us toward human perception and decision making process. This paper analyzes the variation and effect on prosodic features (Formant and Pitch) of female and male speakers in two different emotions (angry and neutral) and softwares (PRAAT and MATLAB) in Urdu language using two ways ANOVA testing. The objective of this paper is to determine the significant effect of emotions and softwares on prosodic features (Pitch and Formant) using recorded speech emotion of both male and female voices of same age group in Urdu language. Experimental results of two-way ANOVA testing considerably show that emotions have effect on pitch and formant both in male and female voice unlike software.
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