Unified Language-Independent DNN-Based G2P Converter
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43955898" target="_blank" >RIV/49777513:23520/19:43955898 - isvavai.cz</a>
Result on the web
<a href="https://www.isca-speech.org/archive/Interspeech_2019/pdfs/2335.pdf" target="_blank" >https://www.isca-speech.org/archive/Interspeech_2019/pdfs/2335.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2019-2335" target="_blank" >10.21437/Interspeech.2019-2335</a>
Alternative languages
Result language
angličtina
Original language name
Unified Language-Independent DNN-Based G2P Converter
Original language description
We introduce a unified Grapheme-to-phoneme conversion framework based on the composition of deep neural networks. In contrary to the usual approaches building the G2P frameworks from the dictionary, we use whole phrases, which allows us to capture various language properties, e.g. cross-word assimilation, without the need for any special care or topology adjustments. The evaluation is carried out on three different languages -- English, Czech and Russian. Each requires dealing with specific properties, stressing the proposed framework in various ways. The very first results show promising performance of the proposed framework, dealing with all the phenomena specific to the tested languages. Thus, we consider the framework to be language-independent for a wide range of languages.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA19-19324S" target="_blank" >GA19-19324S: Fully Trainable Deep Neural Network Based Czech Text-to-Speech Synthesis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
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 of the 20th Annual Conference of the International Speech Communication Association (Interspeech 2019)
ISBN
978-1-5108-9683-3
ISSN
2308-457X
e-ISSN
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Number of pages
5
Pages from-to
2085-2089
Publisher name
Curran Associates, Inc.
Place of publication
Red Hook, NY
Event location
Graz, Austria
Event date
Sep 15, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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