Adaptive Deep Graph Convolutional Network for Dialogical Speech Emotion Recognition

Author:

Liu Jiaxing,Wu Sheng,Wang Longbiao,Dang Jianwu

Publisher

Springer Nature Singapore

Reference20 articles.

1. Wani, T.M., Gunawan, T.S., Qadri, S.A.A., Kartiwi, M., Ambikairajah, E.: A comprehensive review of speech emotion recognition systems. IEEE Access 9, 47795–47814 (2021)

2. Satt, A., Rozenberg, S., Hoory, R.: Efficient emotion recognition from speech using deep learning on spectrograms. In: Interspeech 2017, Stockholm, Sweden, pp. 1089–1093 (2017). https://doi.org/10.21437/Interspeech.2017-200

3. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)

4. Liu, Y., et al.: RoBERTa: a robustly optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692 (2019)

5. Grill, J., et al.: Bootstrap your own latent-a new approach to self-supervised learning. In: Advances in Neural Information Processing Systems, vol. 33, pp. 21271–21284 (2020)

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