Author:
Zhang Huiyun,Huang Heming
Publisher
Springer Nature Switzerland
Reference37 articles.
1. Ramakrishnan, S., Emary, I.: Speech emotion recognition approaches in human computer interaction. Telecommun. Syst. 52, 1467–1478 (2013)
2. John, K., Saurous, R.: Emotion recognition from human speech using temporal information and deep learning. In: Proceedings of Interspeech, Hyderabad, India, pp. 937–940 (2018)
3. Mao, S., Tao, D., Zhang, G., Ching, P.C., Lee, T.: Revisiting hidden Markov models for speech emotion recognition. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, pp. 6715–6719 (2019)
4. Shahin, I., Nassif, A.B., Hamsa, S.: Emotion recognition using hybrid Gaussian mixture model and deep neural network. IEEE Access 7, 26777–26787 (2019)
5. Teng, Z., Ren, F., Kuroiwa, S.: Emotion recognition from text based on the rough set theory and the support vector machines. In: Proceedings of Natural Language Processing and Knowledge Engineering, Beijing, China, pp. 36–41 (2007)