Taekyung Ahn

ORCID: 0009-0003-9394-1650
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About
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Research Areas
  • Organic Electronics and Photovoltaics
  • Voice and Speech Disorders
  • Conducting polymers and applications
  • Organic Light-Emitting Diodes Research
  • Phonetics and Phonology Research
  • Speech Recognition and Synthesis
  • Language Development and Disorders
  • Nanowire Synthesis and Applications
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Electrical and Thermal Properties of Materials
  • Thin-Film Transistor Technologies
  • Block Copolymer Self-Assembly
  • Polymer Surface Interaction Studies
  • Advanced Polymer Synthesis and Characterization
  • Molecular Junctions and Nanostructures
  • AI in Service Interactions

Korea University
2024

Catholic University of Korea
2005-2021

RAND Corporation
2008

Hanyang University
2001-2002

The nature of the interface between light-emitting layer and metal electrode is importance in determining device performance. heat treatment electroluminescence can enhance adhesion polymer on by reducing free volume or pores interface. current–voltage–luminance characteristic with at various temperatures was investigated. annealed above glass transition temperature (Tg) showed most efficient characteristics. current density increased about 20 times over that unannealed device. light...

10.1063/1.1429292 article EN Applied Physics Letters 2002-01-21

This study presents a model of automatic speech recognition (ASR) designed to diagnose pronunciation issues in children with sound disorders (SSDs) replace manual transcriptions clinical procedures. Since ASR models trained for general purposes primarily predict input into real words, employing well-known high-performance evaluating SSDs is impractical. We fine-tuned the wav2vec 2.0 XLS-R recognize as pronounced rather than existing words. The was dataset from 137 inadequate production...

10.48550/arxiv.2403.08187 preprint EN arXiv (Cornell University) 2024-03-12

This study presents a model of automatic speech recognition (ASR) that is designed to diagnose pronunciation issues in children with sound disorders (SSDs) replace manual transcriptions clinical procedures. Because ASR models trained for general purposes mainly predict input into standard spelling words, well-known high-performance are not suitable evaluating SSDs. We fine-tuned the wav2vec2.0 XLS-R recognise words as they pronounced by children, rather than converting their words. The was...

10.1080/02699206.2024.2387609 article EN Clinical Linguistics & Phonetics 2024-08-20

Metal-mediated self-assembly of chelating double-hydrophilic block copolymer has become a facile preparation strategy great importance for the metal-chelated hybrid nanostructures. Herein, we present delicate control over morphology regulation nanostructures by terminal modification polymer building blocks with mesogenic cholesterol. Such molecular design motif at an end linear/brush-type imparts not only additional hydrophobicity enhanced cohesive force to facilitate metal-mediated...

10.1021/acsmacrolett.1c00112 article EN ACS Macro Letters 2021-04-08

This study investigates the design, development, and evaluation of a Large Language Model (LLM)-based chatbot for teaching English conversations in an as Foreign (EFL) context. Employing Design Development Research (DDR), we analyzed needs, established design principles, iteratively refined through experimenting various LLMs alignment methods. Through both quantitative qualitative evaluations, identified most effective LLM its prompt combination to generate high-quality, contextually...

10.13140/rg.2.2.13490.82883 preprint EN arXiv (Cornell University) 2024-09-08

Speech sound disorders (SSDs) are common communication challenges in children, typically assessed by speech-language pathologists (SLPs) using standardized tools. However, traditional evaluation methods time-intensive and prone to variability, raising concerns about reliability.

10.2196/60520 article EN cc-by Journal of Medical Internet Research 2024-05-15

<sec> <title>BACKGROUND</title> Speech sound disorders (SSDs) are common communication challenges in children, typically assessed by speech-language pathologists (SLPs) using standardized tools. However, traditional evaluation methods time-intensive and prone to variability, raising concerns about reliability. </sec> <title>OBJECTIVE</title> This study aimed compare the outcomes of SLPs an automatic speech recognition (ASR) model two SSD assessments South Korea, evaluating ASR model’s...

10.2196/preprints.60520 preprint EN 2024-05-15

Poly[3-(2-benzotriazoloethyl)thiophene] (PBET) containing an electron transporting moiety was blended with poly[2-methoxy-5-(2′-ethylhexyloxy)-1,4-phenylene vinylene] (MEH-PPV) by changing their composition ratio. The MEH-PPV used as a hole material. blends were characterized UV-vis, photoluminescence (PL), and electroluminescence (EL) studies. external EL quantum efficiency enhanced blending; i.e. greater than in pure PBET factor of two the blend film weight ratio (PBET : MEH-PPV=5 1).

10.1080/713738481 article EN Molecular Crystals and Liquid Crystals 2002-01-01

Abstract Electroluminescence (EL) and photoluminescence (PL) from dual-layer thin films made of poly(3-(2-benzotriazolo) ethylthiophene) (PBET) Poly (2-methoxy-5-(2′-ethyl-hexyloxy)-1,4-phenylene vinylene) (MEH-PPV) have been investigated. In these devices, MEH-PPV was selected as a hole-transporting material based on the consideration its electronic structures. The energy level highest occupied molecular orbital (HOMO) (-5.0 eV) lies between that ITO (-4.8 PBET (-5.5 eV). We found EL signal...

10.1080/10587250108030035 article EN Molecular crystals and liquid crystals science technology. Section A, Molecular crystals and liquid crystals/Molecular crystals and liquid crystals science and technology. Section A, Molecular crystals and liquid crystals 2001-10-01
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