Regional language Speech Emotion Detection using Deep Neural Network
نویسندگان
چکیده
Speaking is the most basic and efficient mode of human contact. Emotions assist people in communicating understanding others’ viewpoints by transmitting sentiments providing feedback.The objective speech emotion recognition to enable computers comprehend emotional states such as happiness, fury, disdain through voice cues. Extensive Effective Method Coefficients Mel cepstral frequency have been proposed for this problem. The characteristics ceptral coefficients(MFCC) audio based textual are extracted from hybrid textural framework video extracted. Voice used a variety applications monitoring, online learning, clinical investigations, deception detection, entertainment, computer games, call centres.
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ژورنال
عنوان ژورنال: ITM web of conferences
سال: 2022
ISSN: ['2271-2097', '2431-7578']
DOI: https://doi.org/10.1051/itmconf/20224403071