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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

12

Strana od-do

553-564

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

St. Petersburg, Russia

Datum konání akce

27. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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