5549757
doi
10.35940/ijeat.E1027.069520
oai:zenodo.org:5549757
Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)
Publisher
Baij Nath Kaushik
Associate Professor, Department of Computer Science & Engineering, SMVDU, Katra, J&K, India.
A Hybrid Technique using CNN+LSTM for Speech Emotion Recognition
Hafsa Qazi
Department of Computer Science, Shri Mata Vaishno Devi University, Katra, J&K, India.
issn:2249-8958
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
CNN, LSTM, RNN, SER, Spectrograms.
<p>Automatic speech emotion recognition is a very necessary activity for effective human-computer interaction. This paper is motivated by using spectrograms as inputs to the hybrid deep convolutional LSTM for speech emotion recognition. In this study, we trained our proposed model using four convolutional layers for high-level feature extraction from input spectrograms, LSTM layer for accumulating long-term dependencies and finally two dense layers. Experimental results on the SAVEE database shows promising performance. Our proposed model is highly capable as it obtained an accuracy of 94.26%.</p>
Zenodo
2020-06-30
info:eu-repo/semantics/article
5549756
1633441713.312642
611245
md5:44bfd44793f531deb0b1eba97f3c9289
https://zenodo.org/records/5549757/files/E1027069520.pdf
public
2249-8958
Is cited by
issn
International Journal of Engineering and Advanced Technology (IJEAT)
9
5
1126-1130
2020-06-30