Výsledky vyhledávání - "Kiyoung Park"

Akademický článek

KMSAV: Korean multi-speaker spontaneous audiovisual dataset

Autor: Kiyoung Park, Changhan Oh, Sunghee Dong

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

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Akademický článek

Iris pseudacorus and Lythrum anceps as Plants Supporting the Process of Removing Microplastics from Aquatic Environments—Preliminary Research

Autor: Yoosun Kim, Kiyoung Park, Jonghyeok Bak, Sueran Choi

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

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Akademický článek

Audio-Visual Overlapped Speech Detection for Spontaneous Distant Speech

Autor: Minyoung Kyoung, Hyungbae Jeon, Kiyoung Park

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

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Akademický článek

New Ternary Blend Strategy Based on a Vertically Self‐Assembled Passivation Layer Enabling Efficient and Photostable Inverted Organic Solar Cells

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

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Akademický článek

Fast offline transformer-based end-to-end automatic speech recognition for real-world applications

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

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Akademický článek

Automatic proficiency assessment of Korean speech read aloud by non‐natives using bidirectional LSTM‐based speech recognition

Autor: Yoo Rhee Oh, Kiyoung Park, Hyung‐Bae Jeon, Jeon Gue Park

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

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Akademický článek

Online Speech Recognition Using Multichannel Parallel Acoustic Score Computation and Deep Neural Network (DNN)- Based Voice-Activity Detector

Autor: Yoo Rhee Oh, Kiyoung Park, Jeon Gyu Park

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

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Akademický článek

A Study on the Cooling Performance of Newly Developed Slice Die in the Hot Press Forming Process

Autor: Seung Hwan Lee, Jaewoong Park, Kiyoung Park, Dong Keun Kweon, Hyunwoo Lee, Daeho Yang, Hongrae Park, Jaeseung Kim

Publikováno v: Metals, Vol 8, Iss 11, p 947 (2018)

The cooling performance of a slice die is studied numerically and experimentally. The slice die is designed to improve the cooling performance compared to that of a conventional die that is generally used in the Hot Press Forming (HPF) process by mod

Externí odkaz: https://doaj.org/article/e6d8ab27f79d4b1caf3e4d2adfea6186

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