Title
Exemplar-based pitch contour generation using DOP for syntactic tree decomposition
Abstract
The generation of a pitch contour from linguistic information has long been recognised as a requirement for natural sounding speech synthesis. This paper investigates the use of an exemplar-based model for pitch contour generation. The main drawbacks of previous unit selection-based approaches for pitch contour generation is determining the size of the unit, and to guarantee that only prosodic and linguistically related units will be selected. The work presented in this paper overcomes these drawbacks by using only prosodic-syntactic correlated data, and a dynamic unit size model using data-oriented parsing. An AB comparison perceptual test showed 58% preference for the exemplar-based model, 25% for a HTS model, and 17% find both the same in terms of naturalness and pitch. In a MOS test, exemplar-based model achieved higher scores than that the HTS model achieved.
Year
DOI
Venue
2012
10.1109/ICASSP.2012.6288939
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
linguistics,speech synthesis,trees (mathematics),AB comparison perceptual test,HTS model,MOS test,data oriented parsing,data-oriented parsing,dynamic unit size model,exemplar-based model,exemplar-based pitch contour generation,linguistic information,natural sounding speech synthesis,previous unit selection-based approaches,prosodic-syntactic correlated data,syntactic tree decomposition,Exemplar-based pitch generation,Intonation generation,Prosody generation,Speech synthesis,syntactic-prosodic correlation
Rule-based machine translation,Data modeling,Pitch contour,Speech synthesis,Pattern recognition,Computer science,Tree decomposition,Naturalness,Speech recognition,Artificial intelligence,Parsing,Hidden Markov model
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4673-0044-5
978-1-4673-0044-5
1
PageRank 
References 
Authors
0.37
7
5