Several Aspects of Machine-Driven Phrasing in Text-to-Speech Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898240" target="_blank" >RIV/49777513:23520/11:43898240 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.2478/v10108-011-0004-3" target="_blank" >http://dx.doi.org/10.2478/v10108-011-0004-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/v10108-011-0004-3" target="_blank" >10.2478/v10108-011-0004-3</a>

Result language
angličtina
Original language name
Several Aspects of Machine-Driven Phrasing in Text-to-Speech Systems
Original language description
The article discusses differences between a priori and a posteriori phrasing and their importance in the task of automatic prosodic phrasing in text-to-speech systems. On several examples it illustrates shortcomings of common evaluation of a priori phrasing performance using a posteriori phrasing of referential corpus data. The paper also proposes and evaluates a method for a priori phrasing based on template matching of quasi-syntactical representations of sentences.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AI - Linguistics
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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