找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Robust Emotion Recognition using Spectral and Prosodic Features; K. Sreenivasa Rao,Shashidhar G. Koolagudi Book 2013 The Author(s) 2013 Sp

[复制链接]
查看: 7541|回复: 41
发表于 2025-3-21 18:57:15 | 显示全部楼层 |阅读模式
书目名称Robust Emotion Recognition using Spectral and Prosodic Features
编辑K. Sreenivasa Rao,Shashidhar G. Koolagudi
视频video
概述Deals with emotions in terms of how to characterize the emotions, how to acquire the emotion-specific information from speech conversations and finally how to incorporate the acquired emotion-specific
丛书名称SpringerBriefs in Speech Technology
图书封面Titlebook: Robust Emotion Recognition using Spectral and Prosodic Features;  K. Sreenivasa Rao,Shashidhar G. Koolagudi Book 2013 The Author(s) 2013 Sp
描述In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner.The authors also delve into the complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus.
出版日期Book 2013
关键词Speaking Rate; Sub-syllabic Spectral Features; Syllable-level Prosidic Features; communication; pitch; pi
版次1
doihttps://doi.org/10.1007/978-1-4614-6360-3
isbn_softcover978-1-4614-6359-7
isbn_ebook978-1-4614-6360-3Series ISSN 2191-737X Series E-ISSN 2191-7388
issn_series 2191-737X
copyrightThe Author(s) 2013
The information of publication is updating

书目名称Robust Emotion Recognition using Spectral and Prosodic Features影响因子(影响力)




书目名称Robust Emotion Recognition using Spectral and Prosodic Features影响因子(影响力)学科排名




书目名称Robust Emotion Recognition using Spectral and Prosodic Features网络公开度




书目名称Robust Emotion Recognition using Spectral and Prosodic Features网络公开度学科排名




书目名称Robust Emotion Recognition using Spectral and Prosodic Features被引频次




书目名称Robust Emotion Recognition using Spectral and Prosodic Features被引频次学科排名




书目名称Robust Emotion Recognition using Spectral and Prosodic Features年度引用




书目名称Robust Emotion Recognition using Spectral and Prosodic Features年度引用学科排名




书目名称Robust Emotion Recognition using Spectral and Prosodic Features读者反馈




书目名称Robust Emotion Recognition using Spectral and Prosodic Features读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 23:24:55 | 显示全部楼层
发表于 2025-3-22 02:22:45 | 显示全部楼层
发表于 2025-3-22 04:55:10 | 显示全部楼层
发表于 2025-3-22 10:55:50 | 显示全部楼层
K. Sreenivasa Rao,Shashidhar G. Koolagudien aus Praxis und Wissenschaft liefern Grund- und Fachwissen.Hervorragende Fachautoren beschreiben ihre Erfahrungen zu Tragwerkstypen, Berechnungs-, Herstellungs- und Bauausführungsverfahren sowie Bauüberwachungsmethoden. Gegenüber den beiden vorangegangenen Auflagen wird im Einführungskapitel auf d
发表于 2025-3-22 16:23:18 | 显示全部楼层
发表于 2025-3-22 18:59:34 | 显示全部楼层
发表于 2025-3-22 22:09:03 | 显示全部楼层
K. Sreenivasa Rao,Shashidhar G. Koolagudigsmethoden. Gegenüber den beiden vorangegangenen Auflagen wird im Einführungskapitel auf die neuere Entwicklung der Verwendung von Hochleistungsbeton im Brückenbau sowie auf Brücken aus Textilbeton eingegangen. Des Weiteren werden in diesem Kapitel integrale und semiintegrale Brücken behandelt, es w
发表于 2025-3-23 02:36:27 | 显示全部楼层
发表于 2025-3-23 08:05:18 | 显示全部楼层
K. Sreenivasa Rao,Shashidhar G. KoolagudiDeals with emotions in terms of how to characterize the emotions, how to acquire the emotion-specific information from speech conversations and finally how to incorporate the acquired emotion-specific
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-23 16:59
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表