Paper Info
Title
A Methodology for Reader's Emotional State Extraction to Augment Expressions in Speech Synthesis
Abstract
An important factor for discriminating between webpages is their genre (e.g., blogs, personal homepages, e-shops, online newspapers, etc). Webpage genre identification has a great potential in information retrieval since users of search engines can combine ...
Year
DOI
Venue
2007
10.1109/ICTAI.2007.21
ICTAI (2)
Keywords
Field
DocType
document-to- audio,webpage genre identification,online newspaper,emotional state extraction,speech representation of text formatting,search engine,speech synthesis,augment expressions,important factor,information retrieval,great potential,personal homepages,emotional state extraction-annotation of documents,expressive speech synthesis,system architecture,meta data,real time,text analysis
Metadata,Speech synthesis,Annotation,Expression (mathematics),Computer science,Document representation,Pleasure,Natural language processing,Artificial intelligence,Disk formatting,Systems architecture
Conference
Volume
ISSN
ISBN
2
1082-3409
0-7695-3015-X
Citations 
PageRank 
References 
2
0.50
21
Authors
3
Name
Order
Citations
PageRank
Dimitrios Tsonos1205.06
Gerasimos Xydas2819.47
Georgios Kouroupetroglou316728.90