A Frequency-Domain Normalized Multichannel Blind Deconvolution Algorithm for Acoustical Signals. - Seung H. Nam; Seungkwon Beack (ICA, 2004)

Sound source location cue coding system for compact representation of multi-channel audio. - Inseon Jang; Jeongil Seo; Seungkwon Beack; Kyeongok Kang; Han-Gil Moon (ACM Multimedia, 2005)

A Multi-channel Audio Compression Method with Virtual Source Location Information. - Hangil Moon; Jeongil Seo; Seungkwon Beack; Koeng-Mo Sung (PCM (1), 2005)

A New Speech Enhancement Algorithm for Car Environment Noise Cancellation with MBD and Kalman Filtering. - Seungkwon Beack; Seung H. Nam; Minsoo Hahn (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005)

Spatial Cue Based Sound Scene Control for MPEG Surround. - Seungkwon Beack; Jeongil Seo; Taejin Lee 003; Dae-young Jang (ICME, 2007)

Spatial Audio Object Coding With Two-Step Coding Structure for Interactive Audio Service. - Kwang-Ki Kim; Jeongil Seo; Seungkwon Beack; Kyeongok Kang; Minsoo Hahn (IEEE Trans. Multim., 2011)

Noise robust feature for automatic speech recognition based on mel-spectrogram gradient histogram. - Taejin Park; Seungkwon Beack; Taejin Lee 003 (SLAM@INTERSPEECH, 2014)

Acoustic data transmission by extension on the time domain approach. - Seungkwon Beack; Yong Ju Lee; Taejin Park; Taejin Lee 003 (GlobalSIP, 2015)

A noise robust audio fingerprint extraction technique for mobile devices using gradient histograms. - Taejin Park; Seungkwon Beack; Taejin Lee 003 (ICCE-Berlin, 2015)

Spatial-Cue Based Audio Channel Extension Using Convolutional Neural Networks. - Seungkwon Beack; Wootaek Lim; Taejin Lee 003 (BMSB, 2019)

Multi-level Stereo Attention Model for Center Channel Extraction. - Wootaek Lim; Seungkwon Beack; Taejin Lee 003 (BMSB, 2019)

Audio Coding Based on Spectral Recovery by Convolutional Neural Network. - Seong-Hyeon Shin; Seungkwon Beack; Taejin Lee 003; Hochong Park (ICASSP, 2019)

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)

Enhanced Method of Audio Coding Using CNN-Based Spectral Recovery with Adaptive Structure. - Seong-Hyeon Shin; Seungkwon Beack; Wootaek Lim; Hochong Park (ICASSP, 2020)

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

Audio Watermarking System Robust to Offset Distortion in Acoustic Channel Transmission. - Seungkwon Beack; Taejin Lee 003 (ICTC, 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)

Source-Aware Neural Speech Coding for Noisy Speech Compression. - Haici Yang; Kai Zhen; Seungkwon Beack; Minje Kim (ICASSP, 2021)

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)

Harp-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. - Darius Petermann; Seungkwon Beack; Minje Kim (WASPAA, 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)

Highly Efficient Audio Coding With Blind Spectral Recovery Based on Machine Learning. - Jae-Won Kim; Seungkwon Beack; Wootaek Lim; Hochong Park (IEEE Signal Process. Lett., 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)

Audio Coding With Unified Noise Shaping And Phase Contrast Control. - Byeongho Jo; Seungkwon Beack; Taejin Lee 003 (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)

Hybrid Noise Shaping for Audio Coding Using Perfectly Overlapped Window. - Byeongho Jo; Seungkwon Beack (WASPAA, 2023)

Personalized Neural Speech Codec. - Inseon Jang; Haici Yang; Wootaek Lim; Seungkwon Beack; Minje Kim (ICASSP, 2024)

Pre-Echo Reduction in Transform Audio Coding via Temporal Envelope Control with Machine Learning Based Estimation. - Jae-Won Kim; Byeongho Jo; Seungkwon Beack; Hochong Park (ICASSP, 2024)

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

Representations of the Complex-Valued Frequency-Domain LPC for Audio Coding. - Byeongho Jo; Seungkwon Beack (IEEE Signal Process. Lett., 2024)

Efficient Complex Immittance Spectral Frequency With the Perceptual-Metric-Based Codebook Search. - Byeongho Jo; Seungkwon Beack (IEEE Signal Process. Lett., 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)

Improved Alias-and-Separate Speech Coding Framework With Minimal Algorithmic Delay. - Eunkyun Lee; Seungkwon Beack; Jong Won Shin (IEEE J. Sel. Top. Signal Process., 2024)