| dc.rights.license | Visos teisės saugomos / All rights reserved | en_US |
| dc.contributor.author | Kolesau, Aliaksei | |
| dc.contributor.author | Šešok, Dmitrij | |
| dc.date.accessioned | 2025-12-16T12:20:02Z | |
| dc.date.available | 2025-12-16T12:20:02Z | |
| dc.date.issued | 2021 | |
| dc.identifier.isbn | 9781665449298 | en_US |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/159563 | |
| dc.description.abstract | In this paper we propose a practical method to improve the false rejection rate of a voice-activated system. The users of such systems tend to repeat the activation word in the case of the false rejection. In our method we modify a decoder of a phoneme-based voice-activated system for detecting such repeats which allows to catch 14.6% of previously undetected cases, while not increasing the false alarm rate, and 79% while adding less than 1% of false alarm rate. We use the fact that the repeat of the activation word consists of twice as many phonemes than the single pronunciation which allows more reliable detection. | en_US |
| dc.format.extent | 4 p. | en_US |
| dc.format.medium | Tekstas / Text | en_US |
| dc.language.iso | en | en_US |
| dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/159397 | en_US |
| dc.source.uri | https://ieeexplore.ieee.org/document/9431481 | en_US |
| dc.subject | voice-activated system | en_US |
| dc.subject | keyword spotting | en_US |
| dc.subject | time delay neural network | en_US |
| dc.title | Detecting Wake-word Repeats in Voice-activated Systems | en_US |
| dc.type | Konferencijos publikacija / Conference paper | en_US |
| dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
| dcterms.issued | 2021-05-20 | |
| dcterms.references | 11 | en_US |
| dc.description.version | Taip / Yes | en_US |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | en_US |
| dc.contributor.institution | Vilnius Gediminas Technical University | en_US |
| dc.contributor.department | Informacinių technologijų katedra / Department of Information Technologies | en_US |
| dcterms.sourcetitle | 2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 22, 2021, Vilnius, Lithuania | en_US |
| dc.identifier.eisbn | 9781665449281 | en_US |
| dc.identifier.eissn | 2690-8506 | en_US |
| dc.publisher.name | IEEE | en_US |
| dc.publisher.country | United States of America | en_US |
| dc.publisher.city | New York | en_US |
| dc.identifier.doi | https://doi.org/10.1109/eStream53087.2021.9431481 | en_US |