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Seungmin Shin
Seungmin Shin
Adresse e-mail validée de yonsei.ac.kr - Page d'accueil
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Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech Coder.
J Byun, S Shin, Y Park, J Sung, S Beack
Interspeech, 1694-1698, 2021
92021
Deep neural network (DNN) audio coder using a perceptually improved training method
S Shin, J Byun, Y Park, J Sung, S Beack
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
72022
Optimization of Deep Neural Network (DNN) Speech Coder Using a Multi Time Scale Perceptual Loss Function.
J Byun, S Shin, J Sung, S Beack, Y Park
Interspeech, 4411-4415, 2022
72022
A Perceptual Neural Audio Coder with a Mean-Scale Hyperprior
J Byun, S Shin, Y Park, J Sung, S Beack
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
Perceptual Improvement of Deep Neural Network (DNN) Speech Coder Using Parametric and Non-parametric Density Models
J Byun, S Shin, J Sung, S Beack, Y Park
1
Quantization Noise Masking in Perceptual Neural Audio Coder
S Shin, J Byun, J Sung, S Beack, Y Park
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
An Efficient Narrowband FxLMS Algorithm for A 3-Axis Active Mount
J Heo, S Shin, J Cha, S Hwang, Y Park, K Jung, S Son
INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268 (5), 3907-3915, 2023
2023
Method and apparatus for designing and testing audio codec by using white noise modeling
J Sung, SK Beack, TJ Lee, W Lim, J Inseon, CHO Byeongho, YC Park, ...
US Patent App. 18/166,407, 2023
2023
심층신경망 기반 오디오 부호화기를 위한 Multi-time Scale 손실함수의 최적화
신승민, 변준, 박영철, 백승권, 성종모
한국방송미디어공학회 학술발표대회 논문집, 550-552, 2022
2022
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