Very Fast Unit Selection Using Viterbi Search with Zero-Concatenation-Cost Chains
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922773" target="_blank" >RIV/49777513:23520/14:43922773 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6854064" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6854064</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICASSP.2014.6854064" target="_blank" >10.1109/ICASSP.2014.6854064</a>
Alternative languages
Result language
angličtina
Original language name
Very Fast Unit Selection Using Viterbi Search with Zero-Concatenation-Cost Chains
Original language description
This paper introduces a very fast heuristic search algorithm for unit-selection speech synthesis. The algorithm modifies commonly used Viterbi search framework by introducing zero-concatenation-cost (ZCC) chains of unit candidates that immediately neighbored in a source speech corpus. ZCC chains are preferred as they represent perfect speech segment concatenations (so there is no need to compute concatenation costs inside the chains) unless a so-called target specification is violated. The number of ZCCchains is reduced based on statistics calculated upon the synthesis of a large number of utterances. ZCC chains are then combined with single unit candidates to fill possible gaps in the sequence of candidates. The proposed method reduces the computational load of a unit selection system up to hundreds of times. According to listening tests, the quality of synthetic speech was not deteriorated.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA01030476" target="_blank" >TA01030476: Intelligent technologies for improving air traffic security</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
ISBN
978-1-4799-2893-4
ISSN
1520-6149
e-ISSN
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Number of pages
5
Pages from-to
2569-2573
Publisher name
IEEE
Place of publication
New York
Event location
Florencie, Itálie
Event date
May 4, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000343655302121