Speech emotion classification using semi-supervised LSTM-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Speech emotion classification using semi-supervised LSTM

Published:2023-06-22 Issue:4 Volume:3 Page:
ISSN:2730-7794
Container-title:Advances in Computational Intelligence
language:en
Short-container-title:Adv. in Comp. Int.

Author:

Itponjaroen Nattipon,Apsornpasakorn Kumpee,Pimthai Eakarat,Kaewkaisorn Khwanchai,Panitchart Shularp,Siriborvornratanakul Thitirat^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s43674-023-00059-x.pdf

Reference18 articles.

1. Ashwini K, Vincent PM, Srinivasan K, Chang C (2021) Deep learning assisted neonatal Cry classification via support Vector Machine Models. Front Public Health 9. https://doi.org/10.3389/fpubh.2021.670352

2. Cao H, Cooper DG, Keutmann MK, Gur RC, Nenkova A, Verma R (2014) CREMA-D: crowd-sourced emotional Multimodal Actors dataset. IEEE Trans Affect Comput 5(4):377–390. https://doi.org/10.1109/TAFFC.2014.2336244

3. Chang CY, Tsai LY (2019) : A CNN-based method for infant cry detection and recognition. In Workshops of the International Conference on Advanced Information Networking and Applications, pp. 786–792, 15 March 2019. https://doi.org/10.1007/978-3-030-150356

4. Cortes C, Vapnik V (1995) : Support-Vector Networks. Machine Learning, 20, pp. 273–297. https://doi.org/10.1007/BF00994018

5. Das KK (2017) A theoretical Approach to define and analyze emotions. Int J Emerg Ment Health 19(4). https://doi.org/10.4172/1522-4821.1000374

Cited by 2 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. Exploring Speech Emotion Recognition with MLP Classifier: A Comprehensive Study on the CREMA-D Dataset;2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST);2024-05-15

2. Multimodal Sentiment Analysis: Techniques, Implementations and Challenges across Diverse Modalities;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

同舟云学术

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