Speech enhancement for pathological voice using time-frequency trajectory excitation modeling. - Eunwoo Song; Jongyoub Ryu; Hong-Goo Kang (APSIPA, 2013)

Fixed-point implementation of MPEG-D unified speech and audio coding decoder. - Eunwoo Song; Hong-Goo Kang; Joonil Lee (DSP, 2014)

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

Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system. - Eunwoo Song; Young-Sun Joo; Hong-Goo Kang (ICASSP, 2015)

Deep neural network-based statistical parametric speech synthesis system using improved time-frequency trajectory excitation model. - Eunwoo Song; Hong-Goo Kang (INTERSPEECH, 2015)

Area-efficient one-cycle correction scheme for timing errors in flip-flop based pipelines. - Jongeun Koo; Eunwoo Song; Eunhyeok Park; Dongyoung Kim; Junki Park; Sungju Ryu; Sungjoo Yoo; Jae-Joon Kim (A-SSCC, 2016)

Multi-class learning algorithm for deep neural network-based statistical parametric speech synthesis. - Eunwoo Song; Hong-Goo Kang (EUSIPCO, 2016)

Improved Time-Frequency Trajectory Excitation Vocoder for DNN-Based Speech Synthesis. - Eunwoo Song; Frank K. Soong; Hong-Goo Kang (INTERSPEECH, 2016)

Perceptual quality and modeling accuracy of excitation parameters in DLSTM-based speech synthesis systems. - Eunwoo Song; Frank K. Soong; Hong-Goo Kang (ASRU, 2017)

Effective Spectral and Excitation Modeling Techniques for LSTM-RNN-Based Speech Synthesis Systems. - Eunwoo Song; Frank K. Soong; Hong-Goo Kang (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

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)

A Unified Framework for the Generation of Glottal Signals in Deep Learning-based Parametric Speech Synthesis Systems. - Min-Jae Hwang; Eunwoo Song; Jin-Seob Kim; Hong-Goo Kang (INTERSPEECH, 2018)

Acoustic Modeling Using Adversarially Trained Variational Recurrent Neural Network for Speech Synthesis. - Joun Yeop Lee; Sung Jun Cheon; Byoung Jin Choi; Nam Soo Kim; Eunwoo Song (INTERSPEECH, 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)

Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform Generation. - Ryuichi Yamamoto; Eunwoo Song; Jae-Min Kim (INTERSPEECH, 2019)

Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems. - Ohsung Kwon; Eunwoo Song; Jae-Min Kim; Hong-Goo Kang (CoRR, 2019)

LP-WaveNet: Linear Prediction-based WaveNet Speech Synthesis. - Min-Jae Hwang; Frank K. Soong; Eunwoo Song; Xi Wang 016; Hyeonjoo Kang; Hong-Goo Kang (APSIPA, 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)

Improving LPCNET-Based Text-to-Speech with Linear Prediction-Structured Mixture Density Network. - Min-Jae Hwang; Eunwoo Song; Ryuichi Yamamoto; Frank K. Soong; Hong-Goo Kang (ICASSP, 2020)

Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram. - Ryuichi Yamamoto; Eunwoo Song; Jae-Min Kim (ICASSP, 2020)

Neural Text-to-Speech with a Modeling-by-Generation Excitation Vocoder. - Eunwoo Song; Min-Jae Hwang; Ryuichi Yamamoto; Jin-Seob Kim; Ohsung Kwon; Jae-Min Kim (INTERSPEECH, 2020)

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

TTS-by-TTS: TTS-Driven Data Augmentation for Fast and High-Quality Speech Synthesis. - Min-Jae Hwang; Ryuichi Yamamoto; Eunwoo Song; Jae-Min Kim (ICASSP, 2021)

Parallel Waveform Synthesis Based on Generative Adversarial Networks with Voicing-Aware Conditional Discriminators. - Ryuichi Yamamoto; Eunwoo Song; Min-Jae Hwang; Jae-Min Kim (ICASSP, 2021)

High-Fidelity Parallel WaveGAN with Multi-Band Harmonic-Plus-Noise Model. - Min-Jae Hwang; Ryuichi Yamamoto; Eunwoo Song; Jae-Min Kim (Interspeech, 2021)

LiteTTS: A Lightweight Mel-Spectrogram-Free Text-to-Wave Synthesizer Based on Generative Adversarial Networks. - Huu-Kim Nguyen; Kihyuk Jeong; Seyun Um; Min-Jae Hwang; Eunwoo Song; Hong-Goo Kang (Interspeech, 2021)

Improved Parallel Wavegan Vocoder with Perceptually Weighted Spectrogram Loss. - Eunwoo Song; Ryuichi Yamamoto; Min-Jae Hwang; Jin-Seob Kim; Ohsung Kwon; Jae-Min Kim (SLT, 2021)

Linear Prediction-based Parallel WaveGAN Speech Synthesis. - Min-Jae Hwang; Hyun-Wook Yoon; Chan-Ho Song; Jin-Seob Kim; Jae-Min Kim; Eunwoo Song (ICEIC, 2022)

Effective Data Augmentation Methods for Neural Text-to-Speech Systems. - Suhyeon Oh; Ohsung Kwon; Min-Jae Hwang; Jae-Min Kim; Eunwoo Song (ICEIC, 2022)

TTS-by-TTS 2: Data-Selective Augmentation for Neural Speech Synthesis Using Ranking Support Vector Machine with Variational Autoencoder. - Eunwoo Song; Ryuichi Yamamoto; Ohsung Kwon; Chan-Ho Song; Min-Jae Hwang; Suhyeon Oh; Hyun-Wook Yoon; Jin-Seob Kim; Jae-Min Kim (INTERSPEECH, 2022)

Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation. - Ryo Terashima; Ryuichi Yamamoto; Eunwoo Song; Yuma Shirahata; Hyun-Wook Yoon; Jae-Min Kim; Kentaro Tachibana (INTERSPEECH, 2022)

Language Model-Based Emotion Prediction Methods for Emotional Speech Synthesis Systems. - Hyun-Wook Yoon; Ohsung Kwon; Hoyeon Lee; Ryuichi Yamamoto; Eunwoo Song; Jae-Min Kim; Min-Jae Hwang (INTERSPEECH, 2022)

HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis. - Sang-Hoon Lee; Seung-Bin Kim; Ji-Hyun Lee; Eunwoo Song; Min-Jae Hwang; Seong-Whan Lee (NeurIPS, 2022)

Period VITS: Variational Inference with Explicit Pitch Modeling for End-To-End Emotional Speech Synthesis. - Yuma Shirahata; Ryuichi Yamamoto; Eunwoo Song; Ryo Terashima; Jae-Min Kim; Kentaro Tachibana (ICASSP, 2023)

Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech. - Hyungchan Yoon; Changhwan Kim; Eunwoo Song; Hyun-Wook Yoon; Hong-Goo Kang (INTERSPEECH, 2023)

Enhancing Multilingual TTS with Voice Conversion Based Data Augmentation and Posterior Embedding. - Hyun-Wook Yoon; Jin-Seob Kim; Ryuichi Yamamoto; Ryo Terashima; Chan-Ho Song; Jae-Min Kim; Eunwoo Song (ICASSP, 2024)

Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation. - Heeseung Kim; Soonshin Seo; Kyeongseok Jeong; Ohsung Kwon; Soyoon Kim; Jungwhan Kim; Jaehong Lee; Eunwoo Song; Myungwoo Oh; Jung-Woo Ha; Sungroh Yoon; Kang Min Yoo (NeurIPS, 2024)

Unified Speech-Text Pretraining for Spoken Dialog Modeling. - Heeseung Kim; Soonshin Seo; Kyeongseok Jeong; Ohsung Kwon; Jungwhan Kim; Jaehong Lee; Eunwoo Song; Myungwoo Oh; Sungroh Yoon; Kang Min Yoo (CoRR, 2024)

Training Universal Vocoders with Feature Smoothing-Based Augmentation Methods for High-Quality TTS Systems. - Jeongmin Liu; Eunwoo Song (CoRR, 2024)

RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching. - Hyun Joon Park; Jeongmin Liu; Jin Sob Kim; Jeong Yeol Yang; Sung Won Han 003; Eunwoo Song (CoRR, 2025)