Bandwidth-Scalable Stereo Audio Coding Based on a Layered Structure. - Young Han Lee; Deok Su Kim; Hong Kook Kim; Jongmo Sung; Mi Suk Lee; Hyun Joo Bae (IEICE Trans. Inf. Syst., 2009)

G.711.1 Annex D and G.722 Annex B - New ITU-T superwideband codecs. - Lei Miao 004; Zexin Liu; Chen Hu; Vaclav Eksler; Stéphane Ragot; Claude Lamblin; Balázs Kövesi; Jongmo Sung; Masahiro Fukui; Shigeaki Sasaki; Yusuke Hiwasaki (ICASSP, 2011)

On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising. - Kai Zhen; Aswin Sivaraman; Jongmo Sung; Minje Kim (CoRR, 2018)

Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding. - Kai Zhen; Jongmo Sung; Mi Suk Lee; Seungkwon Beack; Minje Kim (INTERSPEECH, 2019)

Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization. - Kai Zhen; Mi Suk Lee; Jongmo Sung; Seungkwon Beack; Minje Kim (ICASSP, 2020)

Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. - Kai Zhen; Mi Suk Lee; Jongmo Sung; Seungkwon Beack; Minje Kim (IEEE Signal Process. Lett., 2020)

Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech Coder. - Joon Byun; Seungmin Shin; Youngcheol Park; Jongmo Sung; Seungkwon Beack (Interspeech, 2021)

Scalable and Efficient Neural Speech Coding. - Kai Zhen; Jongmo Sung; Mi Suk Lee; Seungkwon Beack; Minje Kim (CoRR, 2021)

Deep Neural Network (DNN) Audio Coder Using A Perceptually Improved Training Method. - Seungmin Shin; Joon Byun; Youngcheol Park; Jongmo Sung; Seungkwon Beack (ICASSP, 2022)

Optimization of Deep Neural Network (DNN) Speech Coder Using a Multi Time Scale Perceptual Loss Function. - Joon Byun; Seungmin Shin; Jongmo Sung; Seungkwon Beack; Youngcheol Park (INTERSPEECH, 2022)

Scalable and Efficient Neural Speech Coding: A Hybrid Design. - Kai Zhen; Jongmo Sung; Mi Suk Lee; Seungkwon Beack; Minje Kim (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

A Perceptual Neural Audio Coder with a Mean-Scale Hyperprior. - Joon Byun; Seungmin Shin; Youngcheol Park; Jongmo Sung; Seungkwon Beack (ICASSP, 2023)

Perceptual Improvement of Deep Neural Network (DNN) Speech Coder Using Parametric and Non-parametric Density Models. - Joon Byun; Seungmin Shin; Jongmo Sung; Seungkwon Beack; Youngcheol Park (INTERSPEECH, 2023)

Quantization Noise Masking in Perceptual Neural Audio Coder. - Seungmin Shin; Joon Byun; Jongmo Sung; Seungkwon Beack; Youngcheol Park (ICASSP, 2024)

Optimizations of Neural Audio Coder Toward Perceptual Transparency. - Joon Byun; Seungmin Shin; Seorim Hwang; Jongmo Sung; Seungkwon Beack; Youngcheol Park (IEEE J. Sel. Top. Signal Process., 2024)