Sungwon Kim

According to our database, Sungwon Kim authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ETTA: Elucidating the Design Space of Text-to-Audio Models.

Sang-gil Lee, Zhifeng Kong, Arushi Goel, Sungwon Kim, Rafael Valle, Bryan Catanzaro

CoRR, 2024

VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech.

Heeseung Kim, Sang-gil Lee, Jiheum Yeom, Che Hyun Lee, Sungwon Kim, Sungroh Yoon

CoRR, 2024

Scaling Nvidia's Multi-Speaker Multi-Lingual TTS Systems With Zero-Shot TTS to Indic Languages.

Akshit Arora, Rohan Badlani, Sungwon Kim, Rafael Valle, Bryan Catanzaro

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting.

Sungwon Kim, Kevin J. Shih, Rohan Badlani, João Felipe Santos, Evelina Bakhturina, Mikyas Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data.

Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data.

Sungwon Kim, Heeseung Kim, Sungroh Yoon

CoRR, 2022

Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance.

Heeseung Kim, Sungwon Kim, Sungroh Yoon

Proceedings of the International Conference on Machine Learning, 2022

Perception Prioritized Training of Diffusion Models.

Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Guided-TTS: Text-to-Speech with Untranscribed Speech.

Heeseung Kim, Sungwon Kim, Sungroh Yoon

CoRR, 2021

FICGAN: Facial Identity Controllable GAN for De-identification.

Yonghyun Jeong, Jooyoung Choi, Sungwon Kim, Youngmin Ro, Tae-Hyun Oh, Doyeon Kim, Heonseok Ha, Sungroh Yoon

CoRR, 2021

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models.

Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate.

Jongyoon Song, Sungwon Kim, Sungroh Yoon

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity.

Sang-gil Lee, Sungwon Kim, Sungroh Yoon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search.

Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

FloWaveNet : A Generative Flow for Raw Audio.

Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

FloWaveNet : A Generative Flow for Raw Audio.

Sungwon Kim, Sang-gil Lee, Jongyoon Song, Sungroh Yoon

CoRR, 2018