Noisy Label Detection for Speaker Recognition. - Ruibin Yuan; Hanzhi Yin; Yi Wang; Yifan He; Yushi Ye; Lei Zhang (CoRR, 2022)

MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Chenghua Lin; Xingran Chen; Anton Ragni; Hanzhi Yin; Zhijie Hu; Haoyu He; Emmanouil Benetos; Norbert Gyenge; et al. (CoRR, 2022)

On the Effectiveness of Speech Self-Supervised Learning for Music. - Yinghao Ma; Ruibin Yuan; Yizhi Li; Ge Zhang 009; Chenghua Lin; Xingran Chen; Anton Ragni; Hanzhi Yin; Emmanouil Benetos; Norbert Gyenge; Ruibo Liu; Gus Xia; et al. (ISMIR, 2023)

MARBLE: Music Audio Representation Benchmark for Universal Evaluation. - Ruibin Yuan; Yinghao Ma; Yizhi Li; Ge Zhang 009; Xingran Chen; Hanzhi Yin; Le Zhuo; Yiqi Liu; Jiawen Huang; Zeyue Tian; Binyue Deng; Ningzhi Wang; et al. (NeurIPS, 2023)

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Xingran Chen; Hanzhi Yin; Chenghua Lin; Anton Ragni; Emmanouil Benetos; Norbert Gyenge; Roger B. Dannenberg; Ruibo Liu; et al. (CoRR, 2023)

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Xingran Chen; Hanzhi Yin; Chenghao Xiao; Chenghua Lin; Anton Ragni; Emmanouil Benetos; Norbert Gyenge; Roger B. Dannenberg; et al. (ICLR, 2024)

Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models. - Hanzhi Yin; Gang Cheng; Christian J. Steinmetz; Ruibin Yuan; Richard M. Stern; Roger B. Dannenberg (CoRR, 2024)