Experimental Analysis of Emotion Recognition in Voice Using MFCC and Deep Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0700-3_44
Reference20 articles.
1. Singh J, Saheer LB, Faust O (2023) Speech emotion recognition using attention model. Int J Environ Res Public Health 20(6):5140
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3. Shah S, Ghomeshi H, Vakaj E, Cooper E, Mohammad R (2023) An ensemble-learning-based technique for bimodal sentiment analysis. Big Data Cogn Comput 7(2):85
4. Khalil RA, Jones E, Babar MI, Jan T, Zafar MH, Alhussain T (2019) Speech emotion recognition using deep learning techniques: a review. IEEE Access 7:117327–117345. https://doi.org/10.1109/ACCESS.2019.2936124
5. Atmaja BT, Shirai K, Akagi M (2019) Speech emotion recognition using speech feature and word embedding. In: 2019 Asia-pacific signal and information processing association annual summit and conference (APSIPA ASC), pp 519–523
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