SVM Scheme for Speech Emotion Recognition using MFCC Feature
نویسندگان
چکیده
منابع مشابه
SVM Scheme for Speech Emotion Recognition using MFCC Feature
Emotion recognition from speech has developed as a recent research area in Human–Computer Interaction. The objective of this paper is to use a 3-stage Support Vector Machine classifier to classify seven different emotions present in the Berlin Emotional Database. For the purpose of classification, MFCC features from all the 535 files present in the database are extracted. Nine statistical measu...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/11872-7667