3 papers
eess.AS2026
AudioICL-Bench: A Benchmark for Large Audio Language Model In-Context Learning
Jia-Hung Chen, Yi-Cheng Lin, Kai-Wei Chang +2
In-context learning (ICL) promises training-free adaptation for audio, where labeling every new condition is costly. Yet existing audio ICL studies largely measure Task Recognition…
eess.AS2025
MMMOS: Multi-domain Multi-axis Audio Quality Assessment
Yi-Cheng Lin, Jia-Hung Chen, Hung-yi Lee
Accurate audio quality estimation is essential for developing and evaluating audio generation, retrieval, and enhancement systems. Existing non-intrusive assessment models predict…
eess.AS2025
ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality
Yu-Xiang Luo, Yi-Cheng Lin, Ming-To Chuang +9
Despite extensive research on toxic speech detection in text, a critical gap remains in handling spoken Mandarin audio. The lack of annotated datasets that capture the unique proso…