Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Kiyoung Park"'
Publikováno v:
ETRI Journal, Vol 46, Iss 1, Pp 71-81 (2024)
Recent advances in deep learning for speech and visual recognition have accelerated the development of multimodal speech recognition, yielding many innovative results. We introduce a Korean audiovisual speech recognition corpus. This dataset comprise
Externí odkaz:
https://doaj.org/article/2ada256997634ed28e2889546d660dc0
Publikováno v:
Horticulturae, Vol 10, Iss 6, p 631 (2024)
(1) Background: Since microplastics in aquatic environments are difficult to prevent and can cause adverse physiological and biochemical reactions to various organisms, we aimed to analyze the effectiveness of using aquatic plants with well-developed
Externí odkaz:
https://doaj.org/article/288f156ec76c4d058bf2bfa62f95fe7b
Publikováno v:
IEEE Access, Vol 11, Pp 27426-27432 (2023)
Although advances in deep learning have brought remarkable improvements to Overlapped Speech Detection (OSD), the performance in far-field environments is still limited owing to the lack of real-world overlapped speech and a low signal-to-noise ratio
Externí odkaz:
https://doaj.org/article/877df0adf2224d0ca90686a3096816ef
Autor:
Soyeong Jeong, Aniket Rana, Ju‐Hyeon Kim, Deping Qian, Kiyoung Park, Jun‐Ho Jang, Joel Luke, Sooncheol Kwon, Jehan Kim, Pabitra Shakya Tuladhar, Ji‐Seon Kim, Kwanghee Lee, James R. Durrant, Hongkyu Kang
Publikováno v:
Advanced Science, Vol 10, Iss 17, Pp n/a-n/a (2023)
Abstract Herein, a new ternary strategy to fabricate efficient and photostable inverted organic photovoltaics (OPVs) is introduced by combining a bulk heterojunction (BHJ) blend and a fullerene self‐assembled monolayer (C60‐SAM). Time‐of‐flig
Externí odkaz:
https://doaj.org/article/38c4291d99914defab9d1b189cdc91b6
Autor:
Yoo Rhee Oh, Kiyoung Park
Publikováno v:
ETRI Journal, Vol 44, Iss 3, Pp 476-490 (2022)
With the recent advances in technology, automatic speech recognition (ASR) has been widely used in real-world applications. The efficiency of converting large amounts of speech into text accurately with limited resources has become more vital than ev
Externí odkaz:
https://doaj.org/article/8298a8a44f9d45ee954cb9e3ef9bef5b
Publikováno v:
ETRI Journal, Vol 42, Iss 5, Pp 764-775 (2020)
This paper presents an automatic proficiency assessment method for a non‐native Korean read utterance using bidirectional long short–term memory (BLSTM)–based acoustic models (AMs) and speech data augmentation techniques. Specifically, the prop
Externí odkaz:
https://doaj.org/article/7e8d91bc10274eebaf16e305f909c383
Autor:
Jiyeon Han, Jiwon Yoon, Jeongcheol Shin, Eunju Nam, Tongrui Qian, Yulong Li, Kiyoung Park, Seung-Hee Lee, Mi Hee Lim
Publikováno v:
Nature Chemistry. 14:1021-1030
The progression of neurodegenerative disorders can lead to impaired neurotransmission; however, the role of pathogenic factors associated with these diseases and their impact on the structures and functions of neurotransmitters have not been clearly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cec335a1b5cdd763a8cd107660083443
https://doi.org/10.1038/s41557-022-00984-3
https://doi.org/10.1038/s41557-022-00984-3
Autor:
Kiyoung Park
Publikováno v:
Journal of Curriculum Integration. 16:47-71
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c15e062a98a05739e247df2085b8547
https://doi.org/10.35304/jci.16.2.03
https://doi.org/10.35304/jci.16.2.03
Publikováno v:
ETRI Journal. 44:476-490
With the recent advances in technology, automatic speech recognition (ASR) has been widely used in real-world applications. The efficiency of converting large amounts of speech into text accurately with limited resources has become more important tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d009f12e46f3abed76de90a0a546de3c
https://doi.org/10.4218/etrij.2021-0106
https://doi.org/10.4218/etrij.2021-0106
Publikováno v:
Applied Sciences, Vol 10, Iss 12, p 4091 (2020)
This paper aims to design an online, low-latency, and high-performance speech recognition system using a bidirectional long short-term memory (BLSTM) acoustic model. To achieve this, we adopt a server-client model and a context-sensitive-chunk-based
Externí odkaz:
https://doaj.org/article/c11050054b7641468307fbfc49d4f2b1