Gender-specific classifiers in phoneme recognition and academic emotion detection

• Main Authors: Azcarraga, Arnulfo P., Talavera, Arces, Azcarraga, Judith
• Format: text
• Published: Animo Repository 2016
• Subjects: Phonemic awareness; Emotion recognition; Sex differences; Electroencephalography; Classifiers (Linguistics); Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1280
• Institution: De La Salle University

Gender-specific classifiers are shown to outperform general classifiers. In calibrated experiments designed to demonstrate this, two sets of data were used to build male-specific and female-specific classifiers. The first dataset is used to predict vowel phonemes based on speech signals, and the sec...