Dual-TBNet: Improving the Robustness of Speech Features via Dual-Transformer-BiLSTM for Speech Emotion Recognition-Reference-Cited by-同舟云学术

Dual-TBNet: Improving the Robustness of Speech Features via Dual-Transformer-BiLSTM for Speech Emotion Recognition

Author:

Liu Zheng¹^ORCID,Kang Xin²^ORCID,Ren Fuji³^ORCID

Affiliation:

1. Faculty of Science and Engineering, Tokushima University, Tokushima, Japan

2. Department of Information Science and Intelligent Systems, Tokushima University, Tokushima, Japan

3. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

JSPS KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

Reference66 articles.

2. Speaker-dependent audio-visual emotion recognition;haq;Proc Auditory-Vis Speech Process,0

5. Self-supervised learning: Generative or contrastive;liu;IEEE Trans Knowl Data Eng,2023

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