Recognition of Heavily Accented and Emotional Speech of English and Czech Holocaust Survivors Using Various DNN Architectures

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962458" target="_blank" >RIV/49777513:23520/21:43962458 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-87802-3_50" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-87802-3_50</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-87802-3_50" target="_blank" >10.1007/978-3-030-87802-3_50</a>

Result language
angličtina
Original language name
Recognition of Heavily Accented and Emotional Speech of English and Czech Holocaust Survivors Using Various DNN Architectures
Original language description
The Malach Project [6] verified the possibility of using automatic speech recognition (ASR) methods to search for information in large multilingual archives of Holocaust testimonies. After the end of the MALACH project, in which we participated, we continued to work on the completion and implementation of the project’s objectives with priority for two languages - Czech and English. We have developed and implemented a full-text search system that can be used by experts and by the general public in the MALACH Centre for Visual History and Jewish Museum in Prague. ASR is a key technology that ensures the functioning of the whole information retrieval process. To ensure the highest quality searches, we are constantly striving to develop this technology using the state-of-the-art methods. The article presents the latest results obtained in extensive experiments using various DNN architectures in the ASR of the English and Czech MALACH archives. The paper is therefore one of the first responses to M. Picheny’s call [10] to the speech community to reconsider this very difficult task of recognizing strongly emotional and heavily accented speech of Holocaust survivors.
Czech name
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Czech description
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Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</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
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
23rd International Conference, SPECOM 2021, St. Petersburg, Russia, September 27–30, 2021, Proceedings
ISBN
978-3-030-87801-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
553-564
Publisher name
Springer
Place of publication
Cham
Event location
St. Petersburg, Russia
Event date
Sep 27, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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