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General Information
    • ISSN: 1793-8244 (Print)
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Professor Haklin Kimm
    • Executive Editor: Ms. Cherry Chan
    • Abstracting/ Indexing: EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Professor Haklin Kimm
East Stroudsburg University, USA
I'm happy to take on the position of editor in chief of JACN. We encourage authors to submit papers on all aspects of computer networks.

JACN 2014 Vol.2(1): 28-30 ISSN: 1793-8244
DOI: 10.7763/JACN.2014.V2.76

Feature Extraction from Speech Data for Emotion Recognition

S. Demircan and H. Kahramanlı

Abstract—In recent years the workings which requires human-machine interaction such as speech recognition, emotion recognition from speech recognition is increasing. Not only the speech recognition also the features during the conversation is studied like melody, emotion, pitch, emphasis. It has been proven with the research that it can be reached meaningful results using prosodic features of speech. In this paper we performed pre-processing necessary for emotion recognition from speech data. We extract features from speech signal. To recognize emotion it has been extracted Mel Frequency Cepstral Coefficients (MFCC) from the signals. And we classified with k-NN algorithm.

Index Terms—Speech processing, speech recognition, emotion recognition, MFCC.

S. Demircan is with the Department of Computer Engineering in the University of Selcuk, Konya, Türkiye (e-mail: semiye@selcuk.edu.tr).


Cite:S. Demircan and H. Kahramanlı, "Feature Extraction from Speech Data for Emotion Recognition," Journal of Advances in Computer Networks vol. 2, no. 1, pp. 28-30, 2014.

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