Evaluation of Wav2Vec Speech Recognition for Speakers with Cognitive Disorders

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965701" target="_blank" >RIV/49777513:23520/22:43965701 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00064173:_____/22:43924075 RIV/00216208:11120/22:43924075 RIV/61384399:31140/22:00058688

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-031-16270-1_41" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-16270-1_41</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-16270-1_41" target="_blank" >10.1007/978-3-031-16270-1_41</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of Wav2Vec Speech Recognition for Speakers with Cognitive Disorders

Popis výsledku v původním jazyce

In this paper, we present a spoken dialog system used for collecting data for future research in the field of dementia prediction from speech. The dialog system was used to collect the speech data of patients with mild cognitive deficits. The core task solved by the dialog system was the spoken description of the vivid shore picture for one minute. The patients also performed other simple speech-based tasks. All utterances were recorded and manually transcribed to obtain a ground-truth reference. We describe the architecture of the dialog system as well as the results of the first speech recognition experiments. The zero-shot Wav2Vec 2.0 speech recognizer was used and the recognition accuracy on word- and character-level was evaluated.

Název v anglickém jazyce

Evaluation of Wav2Vec Speech Recognition for Speakers with Cognitive Disorders

Popis výsledku anglicky

In this paper, we present a spoken dialog system used for collecting data for future research in the field of dementia prediction from speech. The dialog system was used to collect the speech data of patients with mild cognitive deficits. The core task solved by the dialog system was the spoken description of the vivid shore picture for one minute. The patients also performed other simple speech-based tasks. All utterances were recorded and manually transcribed to obtain a ground-truth reference. We describe the architecture of the dialog system as well as the results of the first speech recognition experiments. The zero-shot Wav2Vec 2.0 speech recognizer was used and the recognition accuracy on word- and character-level was evaluated.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

Text, Speech, and Dialogue 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings

ISBN

978-3-031-16269-5

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

12

Strana od-do

501-512

Název nakladatele

Springer International Publishing

Místo vydání

Cham

Místo konání akce

Brno, Czech Republic

Datum konání akce

6. 9. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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