Automatic Development of ASR System for an Under-Resourced Language

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F18%3A00006127" target="_blank" >RIV/46747885:24220/18:00006127 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TSP.2018.8441243" target="_blank" >http://dx.doi.org/10.1109/TSP.2018.8441243</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2018.8441243" target="_blank" >10.1109/TSP.2018.8441243</a>

Result language
angličtina
Original language name
Automatic Development of ASR System for an Under-Resourced Language
Original language description
This paper deals with an automatic development of language specific parts (such as vocabulary, language model (LM) and acoustic model (AM)) for Automatic Speech Recognition system. It describes our automatic approach and whole process of adapting of ASR system for Latvian language. We have already developed an approach consisted of methods and tools for adapting our ASR system. The approach utilizes only freely available audio and text data which can be found on the Internet. Vocabulary and LM are automatically created from text downloaded from news websites. AM is created using cross-lingual bootstrapping and lightly supervised re-training process from Latvian TV and radio broadcast data and from archive of Latvian parliament sessions. We showed that it is possible to obtain more than 100 hours of automatically annotated speech in only three months and create system that can achieve performance with WER values in range from 15.3 to 27.8 % with minimum human effort.
Czech name
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Czech description
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Project
<a href="/en/project/TH03010018" target="_blank" >TH03010018: DeepSpot - Multilingual technology for spotting and instant alerting</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

Article name in the collection
41st International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-153864695-3
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
100-103
Publisher name
IEEE
Place of publication
Řecko
Event location
Atény, Řecko
Event date
Jan 1, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000454845100023

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