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cs.SD2026

Overview of ESDD2: Environment-Aware Speech and Sound Deepfake Detection Challenge

Xueping Zhang, Han Yin, Yang Xiao +4

The Environment-Aware Speech and Sound Deepfake Detection Challenge (ESDD2), held in conjunction with ICME 2026, evaluated systems for five component-level audio spoofing detection…

cs.SD2026

AudioDER: A Deduplication-Enhanced Reasoning Dataset for Post-Training Large Audio-Language Models

Hui Geng, Yi Su, Zijian Gao +5

Recent advances in pretrained large audio-language models (LALMs) have demonstrated strong capabilities across speech, sound, and music. To adapt these models to downstream tasks w…

cs.SD2026

The First Environmental Sound Deepfake Detection Challenge: Benchmarking Robustness, Evaluation, and Insights

Han Yin, Yang Xiao, Rohan Kumar Das +2

Recent progress in audio generation has made it increasingly easy to create highly realistic environmental soundscapes, which can be misused to produce deceptive content, such as f…

cs.SD2026

Focus Then Listen: An Empirical Study of Plug-and-Play Audio Enhancer for Noise-Robust Large Audio Language Models

Han Yin, Yang Xiao, Younghoo Kwon +2

Large audio language models (LALMs) are a class of foundation models for audio understanding. Existing LALMs tend to degrade significantly in real-world noisy acoustic conditions w…

cs.SD2025

ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification

Bochao Sun, Dong Wang, ZhanLong Yang +2

Acoustic Scene Classification (ASC) is a fundamental problem in computational audition, which seeks to classify environments based on the distinctive acoustic features. In the ASC…

cs.SD2025

Noise-Robust Sound Event Detection and Counting via Language-Queried Sound Separation

Yuanjian Chen, Yang Xiao, Han Yin +2

Most sound event detection (SED) systems perform well on clean datasets but degrade significantly in noisy environments. Language-queried audio source separation (LASS) models show…

cs.SD2025

Ensemble Confidence Calibration for Sound Event Detection in Open-environment

Yuanjian Chen, Han Yin

Sound event detection (SED) has made strong progress in controlled environments with clear event categories. However, real-world applications often take place in open environments.…