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Recognition of emotions in the Algerian Dialect Speech

Show simple item record Horkous, Houari Guerti, Mhania 2020-07-21T13:47:25Z 2020-07-21T13:47:25Z 2021-02-08
dc.identifier.issn 2210-142X
dc.description.abstract Emotion recognition from speech has been an important and challenging research. The performance of speech features and influence of emotions number on the systems of emotion recognition in the Algerian dialect speech are studied in this work. To achieve this aim, an emotional database of the Algerian dialect (ADED) is built. This database contains four emotions: anger, fear, sadness and neutral. Extraction of features is an important step in the recognition of speech emotion. The features extracted in this study are: pitch, intensity, duration, unvoiced frames, jitter, shimmer, HNR (Harmonic Noise Ratio), formants and MFCCs (Mel Frequency Cepstral Coefficients). Each recognition system needs a classifier, so our system is based on the KNN (K-Nearest Neighbor) method of classification. Different results are obtained, the higher recognition rates are given when using a combination of features including pitch, intensity, duration, unvoiced frames, jitter, shimmer, HNR and the MFCCs parameters. And the performance is influenced by the number of emotions included: 82.29 % when using the four emotions of ADED database, 84.02% when three emotions fear, anger and neutral are recognized and 87.50% when only the fear and neutral emotions are used in the recognition system. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject ADED en_US
dc.subject Pitch en_US
dc.subject Intensity en_US
dc.subject Duration en_US
dc.subject Unvoiced frames en_US
dc.subject Jitter en_US
dc.subject Shimmer en_US
dc.subject HNR en_US
dc.subject Formant en_US
dc.subject MFCC en_US
dc.subject KNN en_US
dc.title Recognition of emotions in the Algerian Dialect Speech en_US
dc.type Article en_US
dc.volume 10 en_US
dc.issue 1
dc.pagestart 245 en_US
dc.pageend 254 en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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