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eess.AS2026
Voice Timbre Attribute Detection with Compact and Interpretable Training-Free Acoustic Parameters
Aemon Yat Fei Chiu, Yujia Xiao, Qiuqiang Kong +1
Voice timbre attribute detection (vTAD) is the task of determining the relative intensity of timbre attributes between speech utterances. Voice timbre is a crucial yet inherently c…
eess.AS2025
Measuring Audio's Impact on Correctness: Audio-Contribution-Aware Post-Training of Large Audio Language Models
Haolin He, Xingjian Du, Renhe Sun +16
Large Audio Language Models (LALMs) represent an important frontier in multimodal AI, addressing diverse audio tasks. Recently, post-training of LALMs has received increasing atten…