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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主要な著者: | , , |
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フォーマット: | 論文 |
言語: | English English |
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IAES
2018
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オンライン・アクセス: | 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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http://irep.iium.edu.my/62495/7/62495%20Speech%20emotion%20recognition%20SCOPUS.pdfhttp://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