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Journal Articles
- 2024
[j6]Byeongho Jo
, Seungkwon Beack:
Representations of the Complex-Valued Frequency-Domain LPC for Audio Coding. IEEE Signal Process. Lett. 31: 361-365 (2024)- 2022
- [j5]Jae-Won Kim, Seungkwon Beack, Wootaek Lim, Hochong Park:
Highly Efficient Audio Coding With Blind Spectral Recovery Based on Machine Learning. IEEE Signal Process. Lett. 29: 1212-1216 (2022) - [j4]Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Scalable and Efficient Neural Speech Coding: A Hybrid Design. IEEE ACM Trans. Audio Speech Lang. Process. 30: 12-25 (2022) - 2020
- [j3]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. IEEE Signal Process. Lett. 27: 2159-2163 (2020) - 2011
- [j2]Kwang-Ki Kim, Jeongil Seo, Seungkwon Beack, Kyeongok Kang, Minsoo Hahn:
Spatial Audio Object Coding With Two-Step Coding Structure for Interactive Audio Service. IEEE Trans. Multim. 13(6): 1208-1216 (2011) - 2005
- [j1]Seungkwon Beack, Seung H. Nam, Minsoo Hahn:
A New Speech Enhancement Algorithm for Car Environment Noise Cancellation with MBD and Kalman Filtering. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 88-A(3): 685-689 (2005)
Conference and Workshop Papers
- 2024
- [c26]Jae-Won Kim, Byeongho Jo, Seungkwon Beack, Hochong Park:
Pre-Echo Reduction in Transform Audio Coding via Temporal Envelope Control with Machine Learning Based Estimation. ICASSP 2024: 536-540 - [c25]Inseon Jang, Haici Yang, Wootaek Lim, Seungkwon Beack, Minje Kim:
Personalized Neural Speech Codec. ICASSP 2024: 991-995 - [c24]Seungmin Shin, Joon Byun, Jongmo Sung, Seungkwon Beack, Youngcheol Park:
Quantization Noise Masking in Perceptual Neural Audio Coder. ICASSP 2024: 1246-1250 - 2023
- [c23]Joon Byun, Seungmin Shin, Youngcheol Park, Jongmo Sung, Seungkwon Beack:
A Perceptual Neural Audio Coder with a Mean-Scale Hyperprior. ICASSP 2023: 1-5 - [c22]Byeongho Jo, Seungkwon Beack, Taejin Lee:
Audio Coding With Unified Noise Shaping And Phase Contrast Control. ICASSP 2023: 1-5 - [c21]Joon Byun, Seungmin Shin, Jongmo Sung, Seungkwon Beack, Youngcheol Park:
Perceptual Improvement of Deep Neural Network (DNN) Speech Coder Using Parametric and Non-parametric Density Models. INTERSPEECH 2023: 859-863 - [c20]Byeongho Jo, Seungkwon Beack:
Hybrid Noise Shaping for Audio Coding Using Perfectly Overlapped Window. WASPAA 2023: 1-5 - 2022
- [c19]Seungmin Shin, Joon Byun, Youngcheol Park, Jongmo Sung, Seungkwon Beack:
Deep Neural Network (DNN) Audio Coder Using A Perceptually Improved Training Method. ICASSP 2022: 871-875 - [c18]Joon Byun, Seungmin Shin, Jongmo Sung, Seungkwon Beack, Youngcheol Park:
Optimization of Deep Neural Network (DNN) Speech Coder Using a Multi Time Scale Perceptual Loss Function. INTERSPEECH 2022: 4411-4415 - 2021
- [c17]Haici Yang, Kai Zhen, Seungkwon Beack, Minje Kim:
Source-Aware Neural Speech Coding for Noisy Speech Compression. ICASSP 2021: 706-710 - [c16]Joon Byun, Seungmin Shin, Youngcheol Park, Jongmo Sung, Seungkwon Beack:
Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech Coder. Interspeech 2021: 1694-1698 - [c15]Darius Petermann, Seungkwon Beack, Minje Kim:
Harp-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. WASPAA 2021: 316-320 - 2020
- [c14]Seong-Hyeon Shin, Seungkwon Beack, Wootaek Lim, Hochong Park:
Enhanced Method of Audio Coding Using CNN-Based Spectral Recovery with Adaptive Structure. ICASSP 2020: 351-355 - [c13]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization. ICASSP 2020: 361-365 - [c12]Seungkwon Beack, Taejin Lee:
Audio Watermarking System Robust to Offset Distortion in Acoustic Channel Transmission. ICTC 2020: 1488-1493 - 2019
- [c11]Seungkwon Beack, Wootaek Lim, Taejin Lee:
Spatial-Cue Based Audio Channel Extension Using Convolutional Neural Networks. BMSB 2019: 1-4 - [c10]Wootaek Lim, Seungkwon Beack, Taejin Lee:
Multi-level Stereo Attention Model for Center Channel Extraction. BMSB 2019: 1-4 - [c9]Seong-Hyeon Shin, Seungkwon Beack, Taejin Lee, Hochong Park:
Audio Coding Based on Spectral Recovery by Convolutional Neural Network. ICASSP 2019: 725-729 - [c8]Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding. INTERSPEECH 2019: 3396-3400 - 2015
- [c7]Seungkwon Beack, Yong Ju Lee, Taejin Park, Taejin Lee:
Acoustic data transmission by extension on the time domain approach. GlobalSIP 2015: 1111-1115 - [c6]Taejin Park, Seungkwon Beack, Taejin Lee:
A noise robust audio fingerprint extraction technique for mobile devices using gradient histograms. ICCE-Berlin 2015: 287-290 - 2014
- [c5]Taejin Park, Seungkwon Beack, Taejin Lee:
Noise robust feature for automatic speech recognition based on mel-spectrogram gradient histogram. SLAM@INTERSPEECH 2014: 67-71 - 2007
- [c4]Seungkwon Beack, Jeongil Seo, Taejin Lee, Dae-young Jang:
Spatial Cue Based Sound Scene Control for MPEG Surround. ICME 2007: 1886-1889 - 2005
- [c3]Inseon Jang, Jeongil Seo, Seungkwon Beack, Kyeongok Kang, Han-Gil Moon:
Sound source location cue coding system for compact representation of multi-channel audio. ACM Multimedia 2005: 463-466 - [c2]Hangil Moon, Jeongil Seo, Seungkwon Beack, Koeng-Mo Sung:
A Multi-channel Audio Compression Method with Virtual Source Location Information. PCM (1) 2005: 742-753 - 2004
- [c1]Seung H. Nam, Seungkwon Beack:
A Frequency-Domain Normalized Multichannel Blind Deconvolution Algorithm for Acoustical Signals. ICA 2004: 524-531
Informal and Other Publications
- 2024
- [i7]Inseon Jang, Haici Yang, Wootaek Lim, Seungkwon Beack, Minje Kim:
Personalized Neural Speech Codec. CoRR abs/2404.00791 (2024) - 2023
- [i6]Byeongho Jo, Seungkwon Beack:
Hybrid noise shaping for audio coding using perfectly overlapped window. CoRR abs/2308.12566 (2023) - 2021
- [i5]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. CoRR abs/2101.00054 (2021) - [i4]Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Scalable and Efficient Neural Speech Coding. CoRR abs/2103.14776 (2021) - [i3]Darius Petermann, Seungkwon Beack, Minje Kim:
HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. CoRR abs/2107.10843 (2021) - 2020
- [i2]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization. CoRR abs/2002.05604 (2020) - 2019
- [i1]Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding. CoRR abs/1906.07769 (2019)
Coauthor Index
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