Author:
Sun Jiu,Zhu Jinxin,Shao Jun
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Reference29 articles.
1. A.A. Abdelhamid, E.S.M. El-Kenawy, B. Alotaibi, G.M. Amer, M.Y. Abdelkader, A. Ibrahim, M.M. Eid, Robust speech emotion recognition using CNN+ LSTM based on stochastic fractal search optimization algorithm. IEEE Access 10, 49265–49284 (2022)
2. S. Akinpelu, S. Viriri, Robust feature selection-based speech emotion classification using deep transfer learning. Appl. Sci. 12(16), 8265 (2022)
3. F. Albu, D. Hagiescu, L. Vladutu, M.A. Puica, Neural network approaches for children’s emotion recognition in intelligent learning applications, in: International Conference on Education and New Learning Technologies, 3229–3239 (2015)
4. S.B. Alex, L. Mary, B.P. Babu, Attention and feature selection for automatic speech emotion recognition using utterance and syllable-level prosodic features. Circuits Syst. Signal Process. 39(11), 5681–709 (2020)
5. T. Anvarjon, S. Kwon, Deep-net: a lightweight cnn-based speech emotion recognition system using deep frequency features. Sensors 20(18), 1–16 (2020)