A Salient Feature Extraction Algorithm for Speech Emotion Recognition
نویسندگان
چکیده
منابع مشابه
Feature Extraction and Selection in Speech Emotion Recognition
Speech Emotion Recognition (SER) is a hot research topic in the field of Human Computer Interaction (HCI). In this paper, we recognize three emotional states: happy, sad and neutral. The explored features include: energy, pitch, linear predictive spectrum coding (LPCC), Mel-frequency spectrum coefficients (MFCC), and Mel-energy spectrum dynamic coefficients (MEDC). A German Corpus (Berlin Datab...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2015
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2015edl8091