Multi-branch feature learning based speech emotion recognition using SCAR-NET
Author:
Affiliation:
1. College of Computer Science and Technology College of Software, Zhejiang University of Technology, Hangzhou, People's Republic of China
Funder
Basic Public Welfare Research Project of Zhejiang Province
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Human-Computer Interaction,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2189217
Reference50 articles.
1. Aftab A. Morsali A. Ghaemmaghami S. & Champagne B. (2022). Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition. In ICASSP 2022–2022 IEEE international conference on acoustics speech and signal processing (ICASSP) (pp. 6912–6916). IEEE.
2. Alaparthi V. S. Pasam T. R. Inagandla D. A. Prakash J. & Singh P. K. (2022). ScSer: Supervised contrastive learning for speech emotion recognition using transformers. In 2022 15th international conference on human system interaction (HSI) (pp. 1–7). IEEE.
3. Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features
4. Distill
5. Speaker Awareness for Speech Emotion Recognition
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. MelTrans: Mel-Spectrogram Relationship-Learning for Speech Emotion Recognition via Transformers;Sensors;2024-08-25
2. Transformer-based ozone multivariate prediction considering interpretable and priori knowledge: A case study of Beijing, China;Journal of Environmental Management;2024-08
3. Design of smart home system speech emotion recognition model based on ensemble deep learning and feature fusion;Applied Acoustics;2024-03
4. An Analysis in the Identification of Secondary RNA Structure Using Energy Algorithm;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09
5. Knowledge enhancement for speech emotion recognition via multi-level acoustic feature;Connection Science;2024-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3