NDLI: Using an Automated Speech Emotion Recognition Technique to Explore the Impact of Bullying on Pupils Social Life

Content Provider	IEEE Xplore Digital Library
Author	Iliou, T. Paschalidis, G.
Copyright Year	2011
Abstract	Most of the pupils are witness bullying behavior at school. The variety of the roles that bystanders play in school bullying should be seen as a chance of promoting anti-bullying strategies and interventions. The authors suggest the usage of an automated speech emotion recognition technique as part of a multiple methods tool-box of exploring bullying, so as, teachers to identify the nature of the psychological impact experienced by pupils participating in bullying, and to intermediately respond to serious bullying episodes. In this paper we present a speech emotion recognition technique using K Star classifier. Berlin Emotional Database was used for the experiment. This work focuses on speaker and utterance dependent and independent framework. In the speaker dependent framework, K STAR achieves accuracy 77%, while in the speaker independent framework the classification rate reaches 74%. Finally, it is assumed that teachers understanding bystanders' emotions, and consequently, their coping styles in bullying episodes, they could introduce strategies that give pupils who witness bullying positive roles to counter bullying.
Starting Page	18
Ending Page	22
File Size	171333
Page Count	5
File Format	PDF
ISBN	9781612849621
DOI	10.1109/PCI.2011.20
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-30
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bullying Emotion recognition Psychology Speech recognition Speech Educational institutions Feature extraction speech processing Speech processing emotion recognition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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