loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mahfuza Farooque and Susana Munoz Hernández

Affiliation: Universidad Politécnica de Madrid (UPM), Spain

ISBN: 978-989-674-014-6

Keyword(s): Emotion Recognition, Fuzzy Reasoning Application, Voice Speech Analysis, Fuzzy Logic.

Related Ontology Subjects/Areas/Topics: Approximate Reasoning and Fuzzy Inference ; Artificial Intelligence ; Computational Intelligence ; Fuzzy Image, Speech and Signal Processing, Vision and Multimedia ; Fuzzy Systems ; Fuzzy Systems Design, Modeling and Control ; Soft Computing

Abstract: In human beings relations it is very important dealing with emotions. Most people is able to deduce the emotion of one person just listening his/her speech. Voice speech characteristics can help us to identify people emotions. Emotion recognition is a very interesting field in modern science and technology but to automate it is not an easy task. Many researchers and engineers are working to recognize this prospective field but the difficulty is that emotions are not clear. They are not a crisp topic. In this paper we propose to use fuzzy reasoning for emotion recognition. We based our work in some previous studies about the specific characteristics of voice speech for each human emotion (speech rate, pitch average, intensity and voice quality). We provide a simple an useful prototype that implements emotion recognition using a fuzzy model. We have used RFuzzy (a fuzzy logic reasoner over a Prolog compiler) and we have obtained a simple and efficient prototype that is able to identify the emotion of a person from his/her voice speech characteristics. We are trying to recognize sadness, happiness, anger, excitement and plain emotion. We have made some experiments and we provide the results that are 90% successful in the identification of emotions. Our tool is constructive, so it can be used not only to identify emotions automatically but also to recognize the people that have an emotion through their different speeches. Our prototype analyzes an emotional speech and obtains the percentage of each emotion that is detected. So it can provide many constructive answers according to our queries demand. Our prototype is an easy tool for emotion recognition that can be modify and improved by adding new rules from speech and face analysis. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.233.226.151

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Farooque M.; Munoz Hernández S. and (2009). EASY FUZZY TOOL FOR EMOTION RECOGNITION - Prototype from Voice Speech Analysis.In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICFC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 85-88. DOI: 10.5220/0002321700850088

@conference{icfc09,
author={Mahfuza Farooque and Susana {Munoz Hernández}},
title={EASY FUZZY TOOL FOR EMOTION RECOGNITION - Prototype from Voice Speech Analysis},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICFC, (IJCCI 2009)},
year={2009},
pages={85-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002321700850088},
isbn={978-989-674-014-6},
}

TY - CONF

JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICFC, (IJCCI 2009)
TI - EASY FUZZY TOOL FOR EMOTION RECOGNITION - Prototype from Voice Speech Analysis
SN - 978-989-674-014-6
AU - Farooque, M.
AU - Munoz Hernández, S.
PY - 2009
SP - 85
EP - 88
DO - 10.5220/0002321700850088

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.