5 papers · 1 filter
PitchIn: Natural-Language Vocal Coaching from Unstructured Community Feedback
Hayeon Bang, Hounsu Kim, Joonyong Park +2
Effective vocal coaching connects performance issues with corrective advice, but recordings paired with expert diagnoses and advice are scarce. Online singing communities provide a…
Neural Audio Codec for Robust Audio Deepfake Detection
Jungwoo Kim, Joonyong Park, Junyoung Koh +1
Audio deepfake detectors are typically evaluated on uncompressed audio, although real-world audio often undergoes low-bitrate coding. In this work, we investigate how audio coding…
Auditing Protocol-Level Shortcuts in Large Audio Language Model Judges for Speech Evaluation
Joonyong Park, David M. Chan, Yuki Saito +1
Large audio-language models (LALMs) are increasingly used as automatic judges for speech evaluation. However, high agreement with human ratings does not guarantee that their verdic…
Probing Token Spaces under Generator Shift in AI-Generated Music Detection
Joonyong Park, Jungwoo Kim, Junyoung Koh +1
AI-generated music detectors can appear robust on standard benchmark splits, yet their deployments require transfer to generator sources absent during training. We study this probl…
AnimeScore: A Preference-Based Dataset and Framework for Evaluating Anime-Like Speech Style
Joonyong Park, Jerry Li
Evaluating 'anime-like' voices currently relies on costly subjective judgments, yet no standardized objective metric exists. A key challenge is that anime-likeness, unlike naturaln…