8 papers
When Multiple Scripts Matter: Evaluating ASR in Clinical Settings
Jean Seo, Minkyu Kim, Jeonguk Lee +3
Automatic speech recognition (ASR) in non-English clinical settings is challenged by multiscript variability, where the same term may appear in multiple valid orthographic forms. C…
Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines
Jean Seo, Gibaeg Kim, Kihun Shin +5
We introduce EPAG, a benchmark dataset and framework designed for Evaluating the Pre-consultation Ability of LLMs using diagnostic Guidelines. LLMs are evaluated directly through H…
H-DDx: A Hierarchical Evaluation Framework for Differential Diagnosis
Seungseop Lim, Gibaeg Kim, Hyunkyung Lee +4
An accurate differential diagnosis (DDx) is essential for patient care, shaping therapeutic decisions and influencing outcomes. Recently, Large Language Models (LLMs) have emerged…
Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation
Seungseop Lim, Gibaeg Kim, Wooseok Han +4
Recent advances in Large Language Models (LLMs) have brought significant improvements to various service domains, including chatbots and medical pre-consultation applications. In t…
Taxonomy of Comprehensive Safety for Clinical Agents
Jean Seo, Hyunkyung Lee, Gibaeg Kim +5
Safety is a paramount concern in clinical chatbot applications, where inaccurate or harmful responses can lead to serious consequences. Existing methods--such as guardrails and too…
Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting
Wooseok Han, Minki Kang, Changhun Kim +1
Speaker-adaptive Text-to-Speech (TTS) synthesis has attracted considerable attention due to its broad range of applications, such as personalized voice assistant services. While se…
Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping
Minki Kang, Wooseok Han, Eunho Yang
Generating speech from a face image is crucial for developing virtual humans capable of interacting using their unique voices, without relying on pre-recorded human speech. In this…
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models
Minki Kang, Wooseok Han, Sung Ju Hwang +1
Emotional Text-To-Speech (TTS) is an important task in the development of systems (e.g., human-like dialogue agents) that require natural and emotional speech. Existing approaches,…