Poster Session II

Language-Queried Audio Source Separation Enhanced by Expanded Language-Audio Contrastive Loss
Haechun chung (KT Corporation), JaeHoon Jung (AI2XL Lab., Institute of Convergence Technology, KT corp.)

A Reference-free Metric for Language-Queried Audio Source Separation using Contrastive Language-Audio Pretraining
Feiyang Xiao (Harbin Engineering University), Jian Guan (Harbin Engineering University), Qiaoxi Zhu (University of Technology Sydney), Xubo Liu (University of Surrey), Wenbo Wang (Harbin Institute of Technology), Shuhan Qi (Harbin Institute of Technology, Shenzhen), kejia zhang (Harbin Engineering University), Jianyuan Sun (University of Sheffield), Wenwu Wang (University of Surrey)

Large-Language-Model-Based Caption Augmentation for Language-Queried Audio Source Separation
Yoonah song (GIST), Dohyun Lee (GIST), Hong Kook Kim (Gwangju Institute of Science and Technology)

Angular Distance Distribution Loss for Audio Classification
Antonio Almudévar (University of Zaragoza), romain serizel (Université de Lorraine), Alfonso Ortega (Universidad de Zaragoza)

Auxiliary Decoder-Based Learning of Sound Event Detection using Multi-Channel Features and Maximum Probability Aggregation
Sang Won Son (Gwangju Institute of Science and Technology), Jongyeon Park (Gwangju Institute of Science and Technology), Hong Kook Kim (Gwangju Institute of Science and Technology), Sulaiman Vesal (Hanwha Vision), Jeong Eun Lim (Hanwha Vision)

Data-Efficient Acoustic Scene Classification with Pre-Training, Bayesian Ensemble Averaging, and Extensive Augmentations
Aida Rostamza (Johannes Kepler Universität Linz), David Nadrchal (Johannes Kepler Universität Linz), Patrick Schilcher (Johannes Kepler Universität Linz)