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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET),  Electronic Journals Library, Ulrich's Periodicals Directory, EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
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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