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pro vyhledávání: '"Vitalii Brydinskyi"'
Autor:
Vitalii Brydinskyi, Dmytro Sabodashko, Yuriy Khoma, Michal Podpora, Alexander Konovalov, Volodymyr Khoma
Publikováno v:
IEEE Access, Vol 12, Pp 116649-116656 (2024)
Automatic speech recognition (ASR) systems have become increasingly popular in recent years due to their ability to convert spoken language into text. Nonetheless, despite their widespread use, existing speaker-independent ASR systems frequently enco
Externí odkaz:
https://doaj.org/article/db7a5038d73944ab9d69e5d9f3db7acb
Autor:
Vitalii Brydinskyi, Yuriy Khoma, Dmytro Sabodashko, Michal Podpora, Volodymyr Khoma, Alexander Konovalov, Maryna Kostiak
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1329 (2024)
This research presents an extensive comparative analysis of a selection of popular deep speaker embedding models, namely WavLM, TitaNet, ECAPA, and PyAnnote, applied in speaker verification tasks. The study employs a specially curated dataset, specif
Externí odkaz:
https://doaj.org/article/5eac4db44c564725a69161253c871d9a
Publikováno v:
Sensors, Vol 23, Iss 4, p 2082 (2023)
Diarization is an important task when work with audiodata is executed, as it provides a solution to the problem related to the need of dividing one analyzed call recording into several speech recordings, each of which belongs to one speaker. Diarizat
Externí odkaz:
https://doaj.org/article/a3a41863643c43cb932ca8e4c47d4f28
Autor:
Vitalii Brydinskyi
Publikováno v:
Information Technology: Computer Science, Software Engineering and Cyber Security. :3-11
У галузі машинного навчання одним із основних напрямків є опрацювання та розпізнавання мовлення. Серед важливих завдань роботи з аудіо
Publikováno v:
Web of Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f2f5fd06fe911387111c825903f9ae1
https://publons.com/wos-op/publon/54233348/
https://publons.com/wos-op/publon/54233348/