Full metadata record
| DC pole | Hodnota | Jazyk |
|---|---|---|
| dc.contributor.author | Švec, Jan | |
| dc.contributor.author | Polák, Filip | |
| dc.contributor.author | Bartoš, Aleš | |
| dc.contributor.author | Zapletalová, Michaela | |
| dc.contributor.author | Víta, Martin | |
| dc.date.accessioned | 2023-01-16T11:00:16Z | - |
| dc.date.available | 2023-01-16T11:00:16Z | - |
| dc.date.issued | 2022 | |
| dc.identifier.citation | ŠVEC, J. POLÁK, F. BARTOŠ, A. ZAPLETALOVÁ, M. VÍTA, M. Evaluation of Wav2Vec Speech Recognition for Speakers with Cognitive Disorders. In Text, Speech, and Dialogue 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings. Cham: Springer International Publishing, 2022. s. 501-512. ISBN: 978-3-031-16269-5 , ISSN: 0302-9743 | cs |
| dc.identifier.isbn | 978-3-031-16269-5 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.uri | 2-s2.0-85139028569 | |
| dc.identifier.uri | http://hdl.handle.net/11025/50929 | |
| dc.format | 12 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | Springer International Publishing | en |
| dc.relation.ispartofseries | Text, Speech, and Dialogue 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings | en |
| dc.rights | Plný text je přístupný v rámci univerzity přihlášeným uživatelům. | cs |
| dc.rights | © Springer Nature Switzerland AG | en |
| dc.title | Evaluation of Wav2Vec Speech Recognition for Speakers with Cognitive Disorders | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | ConferenceObject | en |
| dc.rights.access | restrictedAccess | en |
| dc.type.version | publishedVersion | en |
| dc.description.abstract-translated | 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. | en |
| dc.subject.translated | Spoken dialog systems | en |
| dc.subject.translated | Degenerative diseases | en |
| dc.subject.translated | Dementia | en |
| dc.subject.translated | Tests | en |
| dc.identifier.doi | 10.1007/978-3-031-16270-1_41 | |
| dc.type.status | Peer-reviewed | en |
| dc.identifier.obd | 43936701 | |
| dc.project.ID | SGS-2022-017/Inteligentní metody strojového vnímání a porozumění 5 | cs |
| Vyskytuje se v kolekcích: | Konferenční příspěvky / Conference papers (NTIS) Konferenční příspěvky / Conference Papers (KKY) OBD | |
Soubory připojené k záznamu:
| Soubor | Velikost | Formát | |
|---|---|---|---|
| Svec_Polak_Bartos_Zapletalova_Vita_Evaluation_of_Wav2Vec_Speech_Recognition_TSD_2022.pdf | 1,32 MB | Adobe PDF | Zobrazit/otevřít Vyžádat kopii |
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