Seungmin Shin

Orcid: 0009-0009-8286-5182

According to our database1, Seungmin Shin authored at least 10 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

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

2023
Investigation on Quality Prediction Algorithm in Ultrasonic Metal Welding for Multilayered Cu for Battery Cells.
IEEE Access, 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
Hexa-SSD: Overcoming capacitance constraints in SSDs.
IEICE Electron. Express, 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

A principled approach for selecting block I/O traces.
Proceedings of the HotStorage '22: 14th ACM Workshop on Hot Topics in Storage and File Systems, Virtual Event, June 27, 2022

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
Prediction Model for Back-Bead Monitoring During Gas Metal Arc Welding Using Supervised Deep Learning.
IEEE Access, 2020


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