Heeseung Kim

According to our database, Heeseung Kim authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

NanoVoice: Efficient Speaker-Adaptive Text-to-Speech for Multiple Speakers.

Nohil Park, Heeseung Kim, Che Hyun Lee, Jooyoung Choi, Jiheum Yeom, Sungroh Yoon

CoRR, 2024

VoiceGuider: Enhancing Out-of-Domain Performance in Parameter-Efficient Speaker-Adaptive Text-to-Speech via Autoguidance.

Jiheum Yeom, Heeseung Kim, Jooyoung Choi, Che Hyun Lee, Nohil Park, Sungroh Yoon

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

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

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

Edit-A-Video: Single Video Editing with Object-Aware Consistency.

Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon

Proceedings of the Asian Conference on Machine Learning, 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

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior.

Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Stein Latent Optimization for Generative Adversarial Networks.

Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon

Proceedings of the Tenth International Conference on Learning Representations, 2022

Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings.

Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

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

Heeseung Kim, Sungwon Kim, Sungroh Yoon

CoRR, 2021

Rare Words Degenerate All Words.

Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon

CoRR, 2021

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior.

Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu

CoRR, 2021

Stein Latent Optimization for GANs.

Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon

CoRR, 2021