3 papers
cs.SD2026
Can Large Audio Language Models Understand Audio Well? Speech, Scene and Events Understanding Benchmark for LALMs
Han Yin, Jung-Woo Choi
Recently, Large Audio Language Models (LALMs) have progressed rapidly, demonstrating their strong efficacy in universal audio understanding through cross-modal integration. To eval…
cs.SD2026
ESDD2: Environment-Aware Speech and Sound Deepfake Detection Challenge Evaluation Plan
Xueping Zhang, Han Yin, Yang Xiao +4
Audio recorded in real-world environments often contains a mixture of foreground speech and background environmental sounds. With rapid advances in text-to-speech, voice conversion…
cs.SD2026
MoEScore: Mixture-of-Experts-Based Text-Audio Relevance Score Prediction for Text-to-Audio System Evaluation
Bochao Sun, Yang Xiao, Han Yin
Recent advances in generative models have enabled modern Text-to-Audio (TTA) systems to synthesize audio with high perceptual quality. However, TTA systems often struggle to mainta…