Paper Info
Title
Articulatory features for expressive speech synthesis
Abstract
This paper describes some of the results from the project entitled “New Parameterization for Emotional Speech Synthesis” held at the Summer 2011 JHU CLSP workshop. We describe experiments on how to use articulatory features as a meaningful intermediate representation for speech synthesis. This parameterization not only allows us to reproduce natural sounding speech but also allows us to generate stylistically varying speech.
Year
DOI
Venue
2012
10.1109/ICASSP.2012.6288796
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
speech synthesis,New Parameterization for Emotional Speech Synthesis,Summer 2011 JHU CLSP workshop,articulatory features,clean speech databases,crowd-sourcing,emotion identification,expressive speech synthesis,natural sounding speech reconstruction,stylistically varying speech,articulatory features,emotional speech,evaluation,meta-data extraction,speech synthesis
Speech corpus,Speech synthesis,Computer science,Feature extraction,Speech recognition,Artificial intelligence,Natural language processing,Intermediate language,Hidden Markov model
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4673-0044-5
978-1-4673-0044-5
11
PageRank 
References 
Authors
0.70
7
10
Name
Order
Citations
PageRank
Alan W. Black14391742.28
H. Timothy Bunnell211219.91
Ying Dou3110.70
Prasanna Kumar Muthukumar4232.71
Florian Metze51069106.49
Daniel Perry6110.70
Tim Polzehl713312.83
Kishore Prahallad823919.55
Stefan Steidl9114079.71
Callie Vaughn10221.41