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Youngmoon Jung
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Cited by
Year
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs
SM Kye, Y Jung, HB Lee, SJ Hwang, H Kim
Interspeech, 2020
522020
Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer's type based on a three-dimensional convolutional neural network
J Bae, J Stocks, A Heywood, Y Jung, L Jenkins, V Hill, A Katsaggelos, ...
Neurobiology of aging 99, 53-64, 2021
452021
Improving Multi-Scale Aggregation Using Feature Pyramid Module for Robust Speaker Verification of Variable-Duration Utterances
Y Jung, SM Kye, Y Choi, M Jung, H Kim
Interspeech, 2020
442020
Fithubert: Going thinner and deeper for knowledge distillation of speech self-supervised learning
Y Lee, K Jang, J Goo, Y Jung, H Kim
arXiv preprint arXiv:2207.00555, 2022
412022
Joint Learning Using Denoising Variational Autoencoders for Voice Activity Detection
Y Jung, Y Kim, Y Choi, H Kim
Interspeech, 1210-1214, 2018
362018
Spatial pyramid encoding with convex length normalization for text-independent speaker verification
Y Jung, Y Kim, H Lim, Y Choi, H Kim
Interspeech, 4030-4034, 2019
302019
Neural MOS Prediction for Synthesized Speech Using Multi-Task Learning With Spoofing Detection and Spoofing Type Classification
Y Choi, Y Jung, H Kim
2021 IEEE Spoken Language Technology Workshop (SLT), 2020
262020
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling
Y Choi, Y Jung, H Kim
Interspeech, 2020
242020
A unified deep learning framework for short-duration speaker verification in adverse environments
Y Jung, Y Choi, H Lim, H Kim
IEEE Access 8, 175448-175466, 2020
222020
Linear-scale filterbank for deep neural network-based voice activity detection
Y Jung, Y Kim, H Lim, H Kim
2017 20th Conference of the Oriental Chapter of the International …, 2017
212017
Self-Adaptive Soft Voice Activity Detection using Deep Neural Networks for Robust Speaker Verification
Y Jung, Y Choi, H Kim
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019
202019
Development of distant multi-channel speech and noise databases for speech recognition by in-door conversational robots
Y Suh, Y Kim, H Lim, J Goo, Y Jung, Y Choi, H Kim, DL Choi, Y Lee
2017 20th Conference of the Oriental Chapter of the International …, 2017
202017
Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention
M Jung, Y Jung, J Goo, H Kim
Interspeech, 2020
182020
Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings
M Jung, H Lim, J Goo, Y Jung, H Kim
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019
162019
Dynamic Noise Embedding: Noise Aware Training and Adaptation for Speech Enhancement
J Lee, Y Jung, M Jung, H Kim
APSIPA ASC 2020, 2020
132020
Dual Attention in Time and Frequency Domain for Voice Activity Detection
J Lee, Y Jung, H Kim
Interspeech, 2020
132020
An end-to-end synthesis method for Korean text-to-speech systems
Y Choi, Y Jung, Y Kim, Y Suh, H Kim
Phonetics and Speech Sciences 10 (1), 39-48, 2018
82018
Transfer learning for predicting conversion from mild cognitive impairment to Dementia of Alzheimer’s type based on 3D-convolutional neural network
J Bae, J Stocks, A Heywood, Y Jung, L Jenkins, A Katsaggelos, K Popuri, ...
bioRxiv, 2019.12. 20.884932, 2019
72019
Learning to Maximize Speech Quality Directly Using MOS Prediction for Neural Text-to-Speech
Y Choi, Y Jung, Y Suh, H Kim
IEEE Access 10, 52621-52629, 2022
42022
Learning acoustic word embeddings with phonetically associated triplet network
H Lim, Y Kim, Y Jung, M Jung, H Kim
arXiv preprint arXiv:1811.02736, 2018
42018
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Articles 1–20