Articulatory features for expressive speech synthesis

Author

Black, Alan W. ; Bunnell, H. Timothy ; Dou, Ying ; Muthukumar, Prasanna Kumar ; Metze, Florian ; Perry, Daniel ; Polzehl, Tim ; Prahallad, Kishore ; Steidl, Stefan ; Vaughn, Callie

Author_Institution

Language Technol. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA

fYear

2012

fDate

25-30 March 2012

Firstpage

4005

Lastpage

4008

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.

Keywords

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; Conferences; Databases; Feature extraction; Hidden Markov models; Humans; Speech; Speech synthesis; articulatory features; emotional speech; evaluation; meta-data extraction; speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on

Conference_Location

Kyoto

ISSN

1520-6149

Print_ISBN

978-1-4673-0045-2

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2012.6288796

Filename

6288796