Jongmo Sung

Orcid: 0000-0002-3396-1137

According to our database1, Jongmo Sung authored at least 14 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Quantization Noise Masking in Perceptual Neural Audio Coder.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Perceptual Improvement of Deep Neural Network (DNN) Speech Coder Using Parametric and Non-parametric Density Models.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

A Perceptual Neural Audio Coder with a Mean-Scale Hyperprior.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Scalable and Efficient Neural Speech Coding: A Hybrid Design.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Optimization of Deep Neural Network (DNN) Speech Coder Using a Multi Time Scale Perceptual Loss Function.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Deep Neural Network (DNN) Audio Coder Using A Perceptually Improved Training Method.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Scalable and Efficient Neural Speech Coding.
CoRR, 2021

Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech Coder.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding.
IEEE Signal Process. Lett., 2020

Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising.
CoRR, 2018

2011
G.711.1 Annex D and G.722 Annex B - New ITU-T superwideband codecs.
Proceedings of the IEEE International Conference on Acoustics, 2011

2009
Bandwidth-Scalable Stereo Audio Coding Based on a Layered Structure.
IEICE Trans. Inf. Syst., 2009


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