Learning deep features to recognise speech emotion using merged deep CNN-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Learning deep features to recognise speech emotion using merged deep CNN

Published:2018-08 Issue:6 Volume:12 Page:713-721
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Zhao Jianfeng¹²,Mao Xia¹,Chen Lijiang¹

Affiliation:

1. School of Electronics and Information EngineeringBeihang University37 XueYuan RoadBeijingPeople's Republic of China

2. School of Information EngineeringInner Mongolia University of Science & TechnologyNo. 7 Arding StreetBaotouPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2017.0320

Reference35 articles.

1. Bi-modal emotion recognition from expressive face and body gestures

2. Survey on speech emotion recognition: Features, classification schemes, and databases

3. Cooperative Learning and its Application to Emotion Recognition from Speech

4. Analysis and investigation of emotion identification in biased emotional talking environments

5. Multi‐objective optimisation of wavelet features for phoneme recognition

Cited by 92 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. Intelligent classification of maize straw types from UAV remote sensing images using DenseNet201 deep transfer learning algorithm;Ecological Indicators;2024-09

2. Speech emotion recognition for human–computer interaction;International Journal of Speech Technology;2024-08-31

3. MVIB-DVA: Learning minimum sufficient multi-feature speech emotion embeddings under dual-view aware;Expert Systems with Applications;2024-07

4. A novel two-way feature extraction technique using multiple acoustic and wavelets packets for deep learning based speech emotion recognition;Multimedia Tools and Applications;2024-06-17

5. Research on Multi-Parameter Fault Early Warning for Marine Diesel Engine Based on PCA-CNN-BiLSTM;Journal of Marine Science and Engineering;2024-06-07

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