Youngmoon Jung

486 total citations
22 papers, 264 citations indexed

About

Youngmoon Jung is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Youngmoon Jung has authored 22 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Signal Processing and 2 papers in Computational Mechanics. Recurrent topics in Youngmoon Jung's work include Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (13 papers) and Music and Audio Processing (11 papers). Youngmoon Jung is often cited by papers focused on Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (13 papers) and Music and Audio Processing (11 papers). Youngmoon Jung collaborates with scholars based in South Korea, Canada and United States. Youngmoon Jung's co-authors include Hoirin Kim, Haebeom Lee, Sung Ju Hwang, Jahyun Goo, Karteek Popuri, Virginia Hill, Aggelos K. Katsaggelos, Lei Wang, Lisanne M. Jenkins and Howie Rosen and has published in prestigious journals such as IEEE Access, Neurobiology of Aging and Alzheimer s & Dementia.

In The Last Decade

Youngmoon Jung

20 papers receiving 253 citations

Peers

Countries citing papers authored by Youngmoon Jung

Since Specialization

Citations

This map shows the geographic impact of Youngmoon Jung's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Youngmoon Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngmoon Jung more than expected).

Fields of papers citing papers by Youngmoon Jung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youngmoon Jung. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Youngmoon Jung. The network helps show where Youngmoon Jung may publish in the future.

Co-authorship network of co-authors of Youngmoon Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Youngmoon Jung. A scholar is included among the top collaborators of Youngmoon Jung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Youngmoon Jung. Youngmoon Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Text-Aware Adapter for Few-Shot Keyword Spotting 2025 ·Youngmoon Jung, (unknown), Seung‐Jin Lee, (unknown), (unknown), Hoon Young Cho	0
2	Relational Proxy Loss for Audio-Text based Keyword Spotting 2024 ·Youngmoon Jung, (unknown), (unknown), (unknown), Chang Woo Han, Hoon Young Cho	1
3	CTC-aligned Audio-Text Embedding for Streaming Open-vocabulary Keyword Spotting 2024 ·(unknown), Youngmoon Jung, (unknown), (unknown), (unknown), (unknown)	1
4	Learning to Maximize Speech Quality Directly Using MOS Prediction for Neural Text-to-Speech 2022 ·IEEE Access ·(unknown), Youngmoon Jung, Young-Joo Suh, Hoirin Kim	4
5	FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Models 2022 ·Interspeech 2022 ·(unknown), (unknown), Jahyun Goo, Youngmoon Jung, (unknown)	14
6	Neural MOS Prediction for Synthesized Speech Using Multi-Task Learning with Spoofing Detection and Spoofing Type Classification 2021 ·(unknown), Youngmoon Jung, Hoirin Kim	18
7	Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer's type based on a three-dimensional convolutional neural network 2020 ·Neurobiology of Aging ·(unknown), (unknown), (unknown), Youngmoon Jung, Lisanne M. Jenkins, Virginia Hill, Aggelos K. Katsaggelos, Karteek Popuri, Howie Rosen, Mirza Faisal Beg, Lei Wang	54
8	A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments 2020 ·IEEE Access ·Youngmoon Jung, (unknown), (unknown), Hoirin Kim	18
9	Dynamic Noise Embedding: Noise Aware Training and Adaptation for Speech Enhancement 2020 ·Asia-Pacific Signal and Information Processing Association Annual Summit and Conference ·Joohyung Lee, Youngmoon Jung, (unknown), Hoirin Kim	1
10	Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs 2020 ·(unknown), Youngmoon Jung, Haebeom Lee, Sung Ju Hwang, Hoirin Kim	40
11	Dual Attention in Time and Frequency Domain for Voice Activity Detection 2020 ·Joohyung Lee, Youngmoon Jung, Hoirin Kim	1
12	Dual Attention in Time and Frequency Domain for Voice Activity Detection 2020 ·Joohyung Lee, Youngmoon Jung, Hoirin Kim	7
13	Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification Using CTC-Based Soft VAD and Global Query Attention 2020 ·(unknown), Youngmoon Jung, Jahyun Goo, Hoirin Kim	16
14	Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling 2020 ·arXiv (Cornell University) ·(unknown), Youngmoon Jung, Hoirin Kim	17
15	Improving Multi-Scale Aggregation Using Feature Pyramid Module for Robust Speaker Verification of Variable-Duration Utterances 2020 ·arXiv (Cornell University) ·Youngmoon Jung, (unknown), (unknown), (unknown), Hoirin Kim	27
16	P4‐588: END‐TO‐END 3D‐CONVOLUTIONAL NEURAL NETWORK FOR PREDICTING CONVERSION FROM MILD COGNITIVE IMPAIRMENT TO ALZHEIMER'S DEMENTIA 2019 ·Alzheimer s & Dementia ·(unknown), (unknown), (unknown), Youngmoon Jung, Karteek Popuri, Mirza Faisal Beg, Lei Wang	1
17	Joint Learning Using Denoising Variational Autoencoders for Voice Activity Detection 2018 ·Youngmoon Jung, (unknown), (unknown), Hoirin Kim	23
18	An end-to-end synthesis method for Korean text-to-speech systems 2018 ·Phonetics and Speech Sciences ·(unknown), Youngmoon Jung, (unknown), Young-Joo Suh, Hoirin Kim	1
19	Linear-scale filterbank for deep neural network-based voice activity detection 2017 ·Youngmoon Jung, (unknown), (unknown), Hoirin Kim	13
20	Development of distant multi-channel speech and noise databases for speech recognition by in-door conversational robots 2017 ·Young-Joo Suh, (unknown), (unknown), Jahyun Goo, Youngmoon Jung, Yeonjoo Choi, Hoirin Kim, (unknown), Yong-Ju Lee	4

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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