1 citations · 1 across the 4 of their papers we have counts for
5 papers
Collapse, Repair, and Drift: Dissecting Fine Tuning Dynamics in Speech Language Models
Yichi Wang, Wangjin Zhou, Yizhou Zhang +4
Supervised fine tuning (SFT) is commonly monitored through training and evaluation loss, but loss does not fully characterize how model functionality evolves along the same traject…
Direct or Mediated? Task-Dependent Audio Information Routing in Large Audio Language Models
Yizhou Zhang, Wangjin Zhou, Xin Gu +6
Large Audio Language Models (LALMs) have demonstrated strong performance across a wide range of audio understanding tasks. However, they are typically evaluated on single, coherent…
Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation
Yizhou Zhang, Wangjin Zhou, Yi Zhao +3
Music aesthetics scoring plays a critical role in applications such as dataset curation, generative model evaluation, and reward modeling for music generation. Recent approaches re…
Zero-Shot Sing Voice Conversion: built upon clustering-based phoneme representations
Wangjin Zhou, Fengrun Zhang, Yiming Liu +3
This study presents an innovative Zero-Shot any-to-any Singing Voice Conversion (SVC) method, leveraging a novel clustering-based phoneme representation to effectively separate con…
MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction
Wangjin Zhou, Zhengdong Yang, Chenhui Chu +4
Automatic Mean Opinion Score (MOS) prediction is employed to evaluate the quality of synthetic speech. This study extends the application of predicted MOS to the task of Fake Audio…