Speech Emotion Recognition Using K-Nearest Neighbor Classifiers
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-3342-3_10
Reference11 articles.
1. H. Ali, M. Hariharan, S. Yaacob, A.H. Adom, Facial emotion recognition using empirical mode decomposition. Expert Syst. Appl. 42(3), 1261–1277 (2015)
2. Z.T. Liu, M. Wu, W.H. Cao, J.W. Mao, J.P. Xu, G.Z. Tan, Speech emotion recognition based on feature selection and extreme learning machine decision tree. Neurocomputing 273, 271–280 (2018)
3. M . Ragot, N. Martin, S . Em, N. Pallamin, J.M. Diverrez. Emotion recognition using physiological signals: laboratory vs. wearable sensors. In: International Conference on Applied Human Factors and Ergonomics. Springer, pp. 15–22
4. M.S. Likitha, S.R.R. Gupta, K. Hasitha, A.U. Raju, “Speech based human emotion recognition using MFCC,” 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, pp. 2257–2260 (2017), https://doi.org/10.1109/WiSPNET.2017.8300161.
5. H. Hu, M. Xu, W. Wu, “GMM supervector based SVM with spectral features for speech emotion recognition,” 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP ‘07, Honolulu, HI, pp. IV-413-IV-416 (2007). https://doi.org/10.1109/ICASSP.2007.366937
Cited by 13 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. AFM signal model for dysarthric speech classification using speech biomarkers;Frontiers in Human Neuroscience;2024-02-20
2. Gender-Aware Speech Emotion Recognition in Multiple Languages;Lecture Notes in Computer Science;2024
3. Exploring Sequential Feature Selection in Deep Bi-LSTM Models for Speech Emotion Recognition;Computers, Materials & Continua;2024
4. Assessing Audio-Based Transformer Models for Speech Emotion Recognition;2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS);2023-11-23
5. Improving Speech Emotion Recognition Using Data Augmentation and Balancing Techniques;2023 International Conference on Cyberworlds (CW);2023-10-03
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