WaveNet-Based Speech Synthesis Applied to Czech - A Comparison with the Traditional Synthesis Methods

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952601" target="_blank" >RIV/49777513:23520/18:43952601 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-00794-2_48" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-00794-2_48</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-00794-2_48" target="_blank" >10.1007/978-3-030-00794-2_48</a>

Result language
angličtina
Original language name
WaveNet-Based Speech Synthesis Applied to Czech - A Comparison with the Traditional Synthesis Methods
Original language description
WaveNet is a recently-developed deep neural network for generating high-quality synthetic speech. It produces directly raw audio samples. This paper describes the first application of WaveNet-based speech synthesis for the Czech language. We used the basic WaveNet architecture. The duration of particular phones and the required fundamental frequency used for local conditioning were estimated by additional LSTM networks. We conducted a MUSHRA listening test to compare WaveNet with 2 traditional synthesis methods: unit selection and HMM-based synthesis. Experiments were performed on 4 large speech corpora. Though our implementation of WaveNet did not outperform the unit selection method as reported in other studies, there is still a lot of scope for improvement, while the unit selection TTS have probably reached its quality limit.
Czech name
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Czech description
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Project
<a href="/en/project/GA16-04420S" target="_blank" >GA16-04420S: Combining phonetic and corpus-based approaches to remedy disruptive effects in synthetic speech</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Text, Speech, and Dialogue 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018, Proceedings
ISBN
978-3-030-00793-5
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
8
Pages from-to
445-452
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Brno, Czech Republic
Event date
Sep 11, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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