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ORCIDEunwoo Song
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2020 – today
- 2024
[c34]Hyun-Wook Yoon, Jin-Seob Kim, Ryuichi Yamamoto, Ryo Terashima, Chan-Ho Song, Jae-Min Kim, Eunwoo Song:
Enhancing Multilingual TTS with Voice Conversion Based Data Augmentation and Posterior Embedding. ICASSP 2024: 12186-12190- [i15]Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Sungroh Yoon, Kang Min Yoo:
Unified Speech-Text Pretraining for Spoken Dialog Modeling. CoRR abs/2402.05706 (2024) - [i14]Jeongmin Liu, Eunwoo Song:
Training Universal Vocoders with Feature Smoothing-Based Augmentation Methods for High-Quality TTS Systems. CoRR abs/2409.02517 (2024) - 2023
- [c33]Yuma Shirahata, Ryuichi Yamamoto, Eunwoo Song, Ryo Terashima, Jae-Min Kim, Kentaro Tachibana:
Period VITS: Variational Inference with Explicit Pitch Modeling for End-To-End Emotional Speech Synthesis. ICASSP 2023: 1-5 - [c32]Hyungchan Yoon, Changhwan Kim, Eunwoo Song, Hyun-Wook Yoon, Hong-Goo Kang:
Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech. INTERSPEECH 2023: 4299-4303 - [i13]Hyungchan Yoon, Changhwan Kim, Eunwoo Song, Hyun-Wook Yoon, Hong-Goo Kang:
Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech. CoRR abs/2308.14909 (2023) - 2022
- [c31]Min-Jae Hwang, Hyun-Wook Yoon, Chan-Ho Song, Jin-Seob Kim, Jae-Min Kim, Eunwoo Song:
Linear Prediction-based Parallel WaveGAN Speech Synthesis. ICEIC 2022: 1-4 - [c30]Suhyeon Oh, Ohsung Kwon, Min-Jae Hwang, Jae-Min Kim, Eunwoo Song:
Effective Data Augmentation Methods for Neural Text-to-Speech Systems. ICEIC 2022: 1-4 - [c29]Eunwoo Song, Ryuichi Yamamoto, Ohsung Kwon, Chan-Ho Song, Min-Jae Hwang, Suhyeon Oh, Hyun-Wook Yoon, Jin-Seob Kim, Jae-Min Kim:
TTS-by-TTS 2: Data-Selective Augmentation for Neural Speech Synthesis Using Ranking Support Vector Machine with Variational Autoencoder. INTERSPEECH 2022: 1941-1945 - [c28]Ryo Terashima, Ryuichi Yamamoto, Eunwoo Song, Yuma Shirahata, Hyun-Wook Yoon, Jae-Min Kim, Kentaro Tachibana:
Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation. INTERSPEECH 2022: 3018-3022 - [c27]Hyun-Wook Yoon, Ohsung Kwon, Hoyeon Lee, Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim, Min-Jae Hwang:
Language Model-Based Emotion Prediction Methods for Emotional Speech Synthesis Systems. INTERSPEECH 2022: 4596-4600 - [c26]Sang-Hoon Lee, Seung-Bin Kim, Ji-Hyun Lee, Eunwoo Song, Min-Jae Hwang, Seong-Whan Lee:
HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis. NeurIPS 2022 - [i12]Ryo Terashima, Ryuichi Yamamoto, Eunwoo Song, Yuma Shirahata, Hyun-Wook Yoon, Jae-Min Kim, Kentaro Tachibana:
Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation. CoRR abs/2204.10020 (2022) - [i11]Eunwoo Song, Ryuichi Yamamoto, Ohsung Kwon, Chan-Ho Song, Min-Jae Hwang, Suhyeon Oh, Hyun-Wook Yoon, Jin-Seob Kim, Jae-Min Kim:
TTS-by-TTS 2: Data-selective augmentation for neural speech synthesis using ranking support vector machine with variational autoencoder. CoRR abs/2206.14984 (2022) - [i10]Hyun-Wook Yoon, Ohsung Kwon, Hoyeon Lee, Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim, Min-Jae Hwang:
Language Model-Based Emotion Prediction Methods for Emotional Speech Synthesis Systems. CoRR abs/2206.15067 (2022) - [i9]Yuma Shirahata, Ryuichi Yamamoto, Eunwoo Song, Ryo Terashima, Jae-Min Kim, Kentaro Tachibana:
Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis. CoRR abs/2210.15964 (2022) - 2021
- [c25]Ryuichi Yamamoto, Eunwoo Song, Min-Jae Hwang, Jae-Min Kim:
Parallel Waveform Synthesis Based on Generative Adversarial Networks with Voicing-Aware Conditional Discriminators. ICASSP 2021: 6039-6043 - [c24]Min-Jae Hwang, Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim:
TTS-by-TTS: TTS-Driven Data Augmentation for Fast and High-Quality Speech Synthesis. ICASSP 2021: 6598-6602 - [c23]Min-Jae Hwang, Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim:
High-Fidelity Parallel WaveGAN with Multi-Band Harmonic-Plus-Noise Model. Interspeech 2021: 2227-2231 - [c22]Huu-Kim Nguyen, Kihyuk Jeong, Seyun Um, Min-Jae Hwang, Eunwoo Song, Hong-Goo Kang:
LiteTTS: A Lightweight Mel-Spectrogram-Free Text-to-Wave Synthesizer Based on Generative Adversarial Networks. Interspeech 2021: 3595-3599 - [c21]Eunwoo Song, Ryuichi Yamamoto, Min-Jae Hwang, Jin-Seob Kim, Ohsung Kwon, Jae-Min Kim:
Improved Parallel Wavegan Vocoder with Perceptually Weighted Spectrogram Loss. SLT 2021: 470-476 - [i8]Eunwoo Song, Ryuichi Yamamoto, Min-Jae Hwang, Jin-Seob Kim, Ohsung Kwon, Jae-Min Kim:
Improved parallel WaveGAN vocoder with perceptually weighted spectrogram loss. CoRR abs/2101.07412 (2021) - 2020
- [c20]Min-Jae Hwang, Frank K. Soong, Eunwoo Song, Xi Wang, Hyeonjoo Kang, Hong-Goo Kang:
LP-WaveNet: Linear Prediction-based WaveNet Speech Synthesis. APSIPA 2020: 810-814 - [c19]Suhyeon Oh, Hyungseob Lim, Kyungguen Byun, Min-Jae Hwang, Eunwoo Song, Hong-Goo Kang:
ExcitGlow: Improving a WaveGlow-based Neural Vocoder with Linear Prediction Analysis. APSIPA 2020: 831-836 - [c18]Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim:
Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram. ICASSP 2020: 6199-6203 - [c17]Min-Jae Hwang, Eunwoo Song, Ryuichi Yamamoto, Frank K. Soong, Hong-Goo Kang:
Improving LPCNET-Based Text-to-Speech with Linear Prediction-Structured Mixture Density Network. ICASSP 2020: 7219-7223 - [c16]Eunwoo Song, Min-Jae Hwang, Ryuichi Yamamoto, Jin-Seob Kim, Ohsung Kwon, Jae-Min Kim:
Neural Text-to-Speech with a Modeling-by-Generation Excitation Vocoder. INTERSPEECH 2020: 3570-3574 - [c15]Eunwoo Song, Jin-Seob Kim, Kyungguen Byun, Hong-Goo Kang:
Speaker-Adaptive Neural Vocoders for Parametric Speech Synthesis Systems. MMSP 2020: 1-5 - [i7]Min-Jae Hwang, Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim:
TTS-by-TTS: TTS-driven Data Augmentation for Fast and High-Quality Speech Synthesis. CoRR abs/2010.13421 (2020) - [i6]Ryuichi Yamamoto, Eunwoo Song, Min-Jae Hwang, Jae-Min Kim:
Parallel waveform synthesis based on generative adversarial networks with voicing-aware conditional discriminators. CoRR abs/2010.14151 (2020)
2010 – 2019
- 2019
- [c14]Eunwoo Song, Kyungguen Byun, Hong-Goo Kang:
ExcitNet Vocoder: A Neural Excitation Model for Parametric Speech Synthesis Systems. EUSIPCO 2019: 1-5 - [c13]Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim:
Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform Generation. INTERSPEECH 2019: 699-703 - [i5]Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim:
Probability density distillation with generative adversarial networks for high-quality parallel waveform generation. CoRR abs/1904.04472 (2019) - [i4]Ohsung Kwon, Eunwoo Song, Jae-Min Kim, Hong-Goo Kang:
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems. CoRR abs/1905.08486 (2019) - [i3]Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim:
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram. CoRR abs/1910.11480 (2019) - 2018
- [c12]Min-Jae Hwang, Eunwoo Song, Kyungguen Byun, Hong-Goo Kang:
Modeling-By-Generation-Structured Noise Compensation Algorithm for Glottal Vocoding Speech Synthesis System. ICASSP 2018: 5669-5673 - [c11]Min-Jae Hwang, Eunwoo Song, Jin-Seob Kim, Hong-Goo Kang:
A Unified Framework for the Generation of Glottal Signals in Deep Learning-based Parametric Speech Synthesis Systems. INTERSPEECH 2018: 912-916 - [c10]Joun Yeop Lee, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim, Eunwoo Song:
Acoustic Modeling Using Adversarially Trained Variational Recurrent Neural Network for Speech Synthesis. INTERSPEECH 2018: 917-921 - [i2]Eunwoo Song, Jin-Seob Kim, Kyungguen Byun, Hong-Goo Kang:
Speaker-adaptive neural vocoders for statistical parametric speech synthesis systems. CoRR abs/1811.03311 (2018) - [i1]Eunwoo Song, Kyungguen Byun, Hong-Goo Kang:
ExcitNet vocoder: A neural excitation model for parametric speech synthesis systems. CoRR abs/1811.04769 (2018) - 2017
- [j1]Eunwoo Song, Frank K. Soong, Hong-Goo Kang:
Effective Spectral and Excitation Modeling Techniques for LSTM-RNN-Based Speech Synthesis Systems. IEEE ACM Trans. Audio Speech Lang. Process. 25(11): 2152-2161 (2017) - [c9]Eunwoo Song, Frank K. Soong, Hong-Goo Kang:
Perceptual quality and modeling accuracy of excitation parameters in DLSTM-based speech synthesis systems. ASRU 2017: 671-676 - 2016
- [c8]Jongeun Koo, Eunwoo Song, Eunhyeok Park, Dongyoung Kim, Junki Park, Sungju Ryu, Sungjoo Yoo, Jae-Joon Kim:
Area-efficient one-cycle correction scheme for timing errors in flip-flop based pipelines. A-SSCC 2016: 137-140 - [c7]Eunwoo Song, Hong-Goo Kang:
Multi-class learning algorithm for deep neural network-based statistical parametric speech synthesis. EUSIPCO 2016: 1951-1955 - [c6]Eunwoo Song, Frank K. Soong, Hong-Goo Kang:
Improved Time-Frequency Trajectory Excitation Vocoder for DNN-Based Speech Synthesis. INTERSPEECH 2016: 2253-2257 - 2015
- [c5]Kyungguen Byun, Eunwoo Song, Hwan Shim
, Hyungjoon Lim, Hong-Goo Kang:
A constrained two-layer compression technique for ECG waves. EMBC 2015: 6130-6133 - [c4]Eunwoo Song, Young-Sun Joo, Hong-Goo Kang:
Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system. ICASSP 2015: 4949-4953 - [c3]Eunwoo Song, Hong-Goo Kang:
Deep neural network-based statistical parametric speech synthesis system using improved time-frequency trajectory excitation model. INTERSPEECH 2015: 874-878 - 2014
- [c2]Eunwoo Song, Hong-Goo Kang, Joonil Lee:
Fixed-point implementation of MPEG-D unified speech and audio coding decoder. DSP 2014: 110-113 - 2013
- [c1]Eunwoo Song, Jongyoub Ryu, Hong-Goo Kang:
Speech enhancement for pathological voice using time-frequency trajectory excitation modeling. APSIPA 2013: 1-4
Coauthor Index
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last updated on 2024-10-07 01:28 CEST by the dblp team
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