Shinkook Choi — accepted AI-conference papers

2024

"BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion"

Bo-Kyeong Kim*, Hyoung-Kyu Song, Thibault Castells, Shinkook Choi

ECCV 2024poster

"Text-to-image (T2I) generation with Stable Diffusion models (SDMs) involves high computing demands due to billion-scale parameters. To enhance efficiency, recent studies have reduced sampling steps and applied network quantization while retaining the original architectures. The lack of architectura…

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2020

Emotional Voice Conversion Using Multitask Learning with Text-To-Speech

Tae-Ho Kim, Sungjae Cho, Shinkook Choi, Sejik Park, Soo-Young Lee

ICASSP 2020accepted

Voice conversion (VC) is a task that alters the voice of a person to suit different styles while conserving the linguistic content. Previous state-of-the-art technology used in VC was based on the sequence-to-sequence (seq2seq) model, which could lose linguistic information. There was an attempt to…

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