Emotion recognition in speech using neural network
Joint Authors
Sufya, Fatin B.
Faiq, Abd al-Basit K.
Ahmad, Sahar K.
Source
al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah
Issue
Vol. 21, Issue 1 (31 Mar. 2008), pp.103-112, 10 p.
Publisher
University of Mosul College of Education for Pure Science
Publication Date
2008-03-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Topics
Abstract EN
Emotion recognition in speech studies has grown after the growing of speech recognition technologies.
The aim of such studies is to make language interfaces in human-computer interaction applications more wide in use and to make it efficient.
And it may help the studiers of the human sound areas.
This study deals with four spoken sentences of sixteen short utterance expressing five emotions: a happiness, anger, sadness, fear, and normal (unemotional) state.
The feature extraction techniques are used to capture the most important information of the signal, this process is applied in the time domain.
The extracted feature vector contain 12 LPC (linear predictive coding) parameters, the pitch, the power, and the three first formant frequencies.
While in the second part of the system (the emotion recognizer) the artificial neural network technology is used, the designing network is with feedforward backpropagation.
This design used ten separated nets.
each one make a decision whether the spoken sentence is belong to one of only tow emotions.
So the computational time is increased with this system, while such a system has better performance with respect to other systems.
The designed system could recognize all emotions with ratio 75 % except the fear one which recognized in ratio of 50 %.
American Psychological Association (APA)
Sufya, Fatin B.& Ahmad, Sahar K.& Faiq, Abd al-Basit K.. 2008. Emotion recognition in speech using neural network. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah،Vol. 21, no. 1, pp.103-112.
https://search.emarefa.net/detail/BIM-621927
Modern Language Association (MLA)
Sufya, Fatin B.…[et al.]. Emotion recognition in speech using neural network. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah Vol. 21, no. 1 (Mar. 2008), pp.103-112.
https://search.emarefa.net/detail/BIM-621927
American Medical Association (AMA)
Sufya, Fatin B.& Ahmad, Sahar K.& Faiq, Abd al-Basit K.. Emotion recognition in speech using neural network. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah. 2008. Vol. 21, no. 1, pp.103-112.
https://search.emarefa.net/detail/BIM-621927
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 112
Record ID
BIM-621927