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Speech emotion recognition using deep feedforward neural network

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...

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Bibliographic Details
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
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Internet

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

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