2 papers
cs.SD2026
UA-Bench: Benchmarking Large Audio-Language Models on Underwater Acoustic Recognition
Zhe Sun, Liang An, Jiayu Yao +9
Large audio-language models (LALMs) are fast becoming a general interface to sound, yet how far their broad pretraining carries into specialized domains remains largely open. Vesse…
eess.AS2026
Heterogeneous 2D/1D Signal Representation Fusion for Underwater Acoustic Modulation Recognition Under Distribution Shift
Ronglai Qian, Liang An, Xiaoyan Wang +3
Modulation recognition systems rely on heterogeneous signal representations. 2D signal-image modalities such as time-frequency and cyclostationary maps capture structural patterns,…