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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
IAES
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/62495/ http://irep.iium.edu.my/62495/ http://irep.iium.edu.my/62495/ 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 |
Internet
http://irep.iium.edu.my/62495/http://irep.iium.edu.my/62495/
http://irep.iium.edu.my/62495/
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