54 citations · 60 across the 18 of their papers we have counts for
4 papers · 1 filter
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…
AudioSet-R: A Refined AudioSet with Multi-Stage LLM Label Reannotation
Yulin Sun, Qisheng Xu, Yi Su +4
AudioSet is a widely used benchmark in the audio research community and has significantly advanced various audio-related tasks. However, persistent issues with label accuracy and c…
Audio-Language Models for Audio-Centric Tasks: A Systematic Survey
Yi Su, Jisheng Bai, Qisheng Xu +2
Audio-Language Models (ALMs), trained on paired audio-text data, are designed to process, understand, and reason about audio-centric multimodal content. Unlike traditional supervis…
AudioCIL: A Python Toolbox for Audio Class-Incremental Learning with Multiple Scenes
Qisheng Xu, Yulin Sun, Yi Su +7
Deep learning, with its robust aotomatic feature extraction capabilities, has demonstrated significant success in audio signal processing. Typically, these methods rely on static,…