Youngmoon Jung

According to our database, Youngmoon Jung authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CTC-aligned Audio-Text Embedding for Streaming Open-vocabulary Keyword Spotting.

Sichen Jin, Youngmoon Jung, Seungjin Lee, Jaeyoung Roh, Changwoo Han, Hoonyoung Cho

CoRR, 2024

2022

FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learning.

Yeonghyeon Lee, Kangwook Jang, Jahyun Goo, Youngmoon Jung, Hoirin Kim

CoRR, 2022

Learning to Maximize Speech Quality Directly Using MOS Prediction for Neural Text-to-Speech.

Yeunju Choi, Youngmoon Jung, Youngjoo Suh, Hoirin Kim

IEEE Access, 2022

FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Models.

Yeonghyeon Lee, Kangwook Jang, Jahyun Goo, Youngmoon Jung, Hoi Rin Kim

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Neural MOS Prediction for Synthesized Speech Using Multi-Task Learning with Spoofing Detection and Spoofing Type Classification.

Yeunju Choi, Youngmoon Jung, Hoirin Kim

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

2020

Perceptually Guided End-to-End Text-to-Speech.

Yeunju Choi, Youngmoon Jung, Youngjoo Suh, Hoirin Kim

CoRR, 2020

Multi-Scale Aggregation Using Feature Pyramid Module for Text-Independent Speaker Verification.

Youngmoon Jung, Seong Min Kye, Yeunju Choi, Myunghun Jung, Hoirin Kim

CoRR, 2020

A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments.

Youngmoon Jung, Yeunju Choi, Hyungjun Lim, Hoirin Kim

IEEE Access, 2020

Dual Attention in Time and Frequency Domain for Voice Activity Detection.

Joohyung Lee, Youngmoon Jung, Hoirin Kim

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs.

Seong Min Kye, Youngmoon Jung, Haebeom Lee, Sung Ju Hwang, Hoirin Kim

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Improving Multi-Scale Aggregation Using Feature Pyramid Module for Robust Speaker Verification of Variable-Duration Utterances.

Youngmoon Jung, Seong Min Kye, Yeunju Choi, Myunghun Jung, Hoirin Kim

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification Using CTC-Based Soft VAD and Global Query Attention.

Myunghun Jung, Youngmoon Jung, Jahyun Goo, Hoirin Kim

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling.

Yeunju Choi, Youngmoon Jung, Hoirin Kim

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Dynamic Noise Embedding: Noise Aware Training and Adaptation for Speech Enhancement.

Joohyung Lee, Youngmoon Jung, Myunghun Jung, Hoirin Kim

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification.

Youngmoon Jung, Younggwan Kim, Hyungjun Lim, Yeunju Choi, Hoirin Kim

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Additional Shared Decoder on Siamese Multi-View Encoders for Learning Acoustic Word Embeddings.

Myunghun Jung, Hyungjun Lim, Jahyun Goo, Youngmoon Jung, Hoirin Kim

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Self-Adaptive Soft Voice Activity Detection Using Deep Neural Networks for Robust Speaker Verification.

Youngmoon Jung, Yeunju Choi, Hoirin Kim

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

Learning acoustic word embeddings with phonetically associated triplet network.

Hyungjun Lim, Younggwan Kim, Youngmoon Jung, Myunghun Jung, Hoirin Kim

CoRR, 2018

Joint Learning Using Denoising Variational Autoencoders for Voice Activity Detection.

Youngmoon Jung, Younggwan Kim, Yeunju Choi, Hoirin Kim

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

Development of distant multi-channel speech and noise databases for speech recognition by in-door conversational robots.

Youngjoo Suh, Younggwan Kim, Hyungjun Lim, Jahyun Goo, Youngmoon Jung, Yeonjoo Choi, Hoirin Kim, Dae-Lim Choi, Yongju Lee

Proceedings of the 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment, 2017

Linear-scale filterbank for deep neural network-based voice activity detection.

Youngmoon Jung, Younggwan Kim, Hyungjun Lim, Hoirin Kim

Proceedings of the 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment, 2017