Speech Emotion Recognition Based on Self-Attention Weight Correction for Acoustic and Text Features
Author:
Affiliation:
1. Degree Programs in Systems and Information Engineering, University of Tsukuba, Ibaraki, Japan
2. RevComm, Inc, Tokyo, Japan
Funder
JST SPRING
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09936641.pdf?arnumber=9936641
Reference49 articles.
1. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;Proc NAACL,2019
2. Integrating Multimodal Information in Large Pretrained Transformers
3. Fusing ASR Outputs in Joint Training for Speech Emotion Recognition
4. CTA-RNN: Channel and Temporal-wise Attention RNN leveraging Pre-trained ASR Embeddings for Speech Emotion Recognition
5. ASR-based Features for Emotion Recognition: A Transfer Learning Approach
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