Speech emotion recognition using deep feedforward neural network

• Main Authors: Alghifari, Muhammad Fahreza, Gunawan, Teddy Surya, Kartiwi, Mira
• Format: Article
• Language: English; English
• Published: IAES 2018
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/62495/7/62495%20Speech%20emotion%20recognition%20SCOPUS.pdf; http://irep.iium.edu.my/62495/13/62495_Speech%20emotion%20recognition%20using%20deep%20feedforward%20neural%20network_article.pdf; http://irep.iium.edu.my/62495/; http://www.iaescore.com/journals/index.php/IJEECS/article/view/11765/8301

Speech emotion recognition (SER) is currently a research hotspot due to its challenging nature but bountiful future prospects. The objective of this research is to utilize Deep Neural Networks (DNNs) to recognize human speech emotion. First, the chosen speech feature Mel-frequency cepstral coefficie...