Characteristics of human auditory model based on compensation of glottal features in speech emotion recognition
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference14 articles.
1. Spoken emotion recognition through optimum-path forest classification using glottal features;Iliev;Comput. Speech Lang.,2010
2. Speech emotion recognition approaches in human computer interaction;Ramakrishnan;Telecommun. Syst.,2013
3. Study of wavelet packet energy entropy for emotion classification in speech and glottal signals;He,2013
4. Emotional speech recognition: Resources, features, and methods;Ververidis;Speech Commun.,2006
5. Improved emotion recognition using Gaussian mixture model and extreme learning machine in speech and glottal signals;Muthusamy;Math. Probl. Eng.,2015
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. Analysis of the Impact Using Pre-emphasis Filter, Unvoiced Sounds, Frame Size and Feature Vector Size on Human Emotion Recognition by Voice and Machine Learning;Studies in Computational Intelligence;2024
2. Stressed Speech Emotion Recognition Using Teager Energy and Spectral Feature Fusion with Feature Optimization;Computational Intelligence and Neuroscience;2023-10-11
3. Speech Emotion Recognition Using a Dual-Channel Complementary Spectrogram and the CNN-SSAE Neutral Network;Applied Sciences;2022-09-22
4. Effective ensembling classification strategy for voice and emotion recognition;International Journal of System Assurance Engineering and Management;2022-07-24
5. Implementation of Embedded Unspecific Continuous English Speech Recognition Based on HMM;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2021-11-29
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