3 citations · 3 across the 5 of their papers we have counts for
5 papers
Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speech
Taesoo Kim, Jinju Kim, Dongchan Kim +2
The rapid advancement of Zero-Shot Text-to-Speech (ZS-TTS) technology has enabled high-fidelity voice synthesis from minimal audio cues, raising significant privacy and ethical con…
TESU-LLM: Training Speech-LLMs Without Speech via Unified Encoder Alignment
Taesoo Kim, Jong Hwan Ko
Recent advances in speech-enabled language models have shown promising results in building intelligent voice assistants. However, most existing approaches rely on large-scale paire…
Selective Generation for Controllable Language Models
Minjae Lee, Kyungmin Kim, Taesoo Kim +1
Trustworthiness of generative language models (GLMs) is crucial in their deployment to critical decision making systems. Hence, certified risk control methods such as selective pre…
Understanding Contrastive Learning Through the Lens of Margins
Daniel Rho, TaeSoo Kim, Sooill Park +2
Contrastive learning, along with its variations, has been a highly effective self-supervised learning method across diverse domains. Contrastive learning measures the distance betw…
Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images
Hyeonsoo Lee, Junha Kim, Eunkyung Park +3
Recently, deep learning models have shown the potential to predict breast cancer risk and enable targeted screening strategies, but current models do not consider the change in the…