5 papers · 1 filter
TISDiSS: A Training-Time and Inference-Time Scalable Framework for Discriminative Source Separation
Yongsheng Feng, Yuetonghui Xu, Jiehui Luo +4
Source separation is a fundamental task in speech, music, and audio processing, and it also provides cleaner and larger data for training generative models. However, improving sepa…
Semi-Supervised Self-Learning Enhanced Music Emotion Recognition
Yifu Sun, Xulong Zhang, Monan Zhou +1
Music emotion recognition (MER) aims to identify the emotions conveyed in a given musical piece. However, currently, in the field of MER, the available public datasets have limited…
Music Era Recognition Using Supervised Contrastive Learning and Artist Information
Qiqi He, Xuchen Song, Weituo Hao +3
Does popular music from the 60s sound different than that of the 90s? Prior study has shown that there would exist some variations of patterns and regularities related to instrumen…
MERTech: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model With Multi-Task Finetuning
Dichucheng Li, Yinghao Ma, Weixing Wei +6
Instrument playing techniques (IPTs) constitute a pivotal component of musical expression. However, the development of automatic IPT detection methods suffers from limited labeled…
A Holistic Evaluation of Piano Sound Quality
Monan Zhou, Shangda Wu, Shaohua Ji +2
This paper aims to develop a holistic evaluation method for piano sound quality to assist in purchasing decisions. Unlike previous studies that focused on the effect of piano perfo…