A constrained two-layer compression technique for ECG waves. - Kyungguen Byun; Eunwoo Song; Hwan Shim; Hyungjoon Lim; Hong-Goo Kang (EMBC, 2015)

Parametric-based non-intrusive speech quality assessment by deep neural network. - Haemin Yang; Kyungguen Byun; Hong-Goo Kang; Youngsu Kwak (DSP, 2016)

Modeling-By-Generation-Structured Noise Compensation Algorithm for Glottal Vocoding Speech Synthesis System. - Min-Jae Hwang; Eunwoo Song; Kyungguen Byun; Hong-Goo Kang (ICASSP, 2018)

Speaker-adaptive neural vocoders for statistical parametric speech synthesis systems. - Eunwoo Song; Jin-Seob Kim; Kyungguen Byun; Hong-Goo Kang (CoRR, 2018)

ExcitNet Vocoder: A Neural Excitation Model for Parametric Speech Synthesis Systems. - Eunwoo Song; Kyungguen Byun; Hong-Goo Kang (EUSIPCO, 2019)

A Study on Conditional Features for a Flow-based Neural Vocoder. - Hyungseob Lim; Suhyeon Oh; Kyungguen Byun; Hong-Goo Kang (ACSSC, 2020)

ExcitGlow: Improving a WaveGlow-based Neural Vocoder with Linear Prediction Analysis. - Suhyeon Oh; Hyungseob Lim; Kyungguen Byun; Min-Jae Hwang; Eunwoo Song; Hong-Goo Kang (APSIPA, 2020)

Speaker-invariant Psychological Stress Detection Using Attention-based Network. - Hyeon-Kyeong Shin; Hyewon Han; Kyungguen Byun; Hong-Goo Kang (APSIPA, 2020)

Emotional Speech Synthesis with Rich and Granularized Control. - Se-Yun Um; Sangshin Oh; Kyungguen Byun; Inseon Jang; Chunghyun Ahn; Hong-Goo Kang (ICASSP, 2020)

Speaker-Adaptive Neural Vocoders for Parametric Speech Synthesis Systems. - Eunwoo Song; Jin-Seob Kim; Kyungguen Byun; Hong-Goo Kang (MMSP, 2020)

Facetron: Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations. - Seyun Um; Jihyun Kim; Jihyun Lee; Sangshin Oh; Kyungguen Byun; Hong-Goo Kang (CoRR, 2021)

Length-Normalized Representation Learning for Speech Signals. - Kyungguen Byun; Seyun Um; Hong-Goo Kang (IEEE Access, 2022)

Stylebook: Content-Dependent Speaking Style Modeling for Any-to-Any Voice Conversion using Only Speech Data. - Hyungseob Lim; Kyungguen Byun; Sunkuk Moon; Erik Visser (CoRR, 2023)

Highly Controllable Diffusion-based Any-to-Any Voice Conversion Model with Frame-level Prosody Feature. - Kyungguen Byun; Sunkuk Moon; Erik Visser (CoRR, 2023)

VC-ENHANCE: Speech Restoration with Integrated Noise Suppression and Voice Conversion. - Kyungguen Byun; Jason Filos; Erik Visser; Sunkuk Moon (CoRR, 2024)

Voice-ENHANCE: Speech Restoration using a Diffusion-based Voice Conversion Framework. - Kyungguen Byun; Jason Filos; Erik Visser; Sunkuk Moon (CoRR, 2025)