1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SD2024
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…
cs.SD2023
Mel-Band RoFormer for Music Source Separation
Ju-Chiang Wang, Wei-Tsung Lu, Minz Won
Recently, multi-band spectrogram-based approaches such as Band-Split RNN (BSRNN) have demonstrated promising results for music source separation. In our recent work, we introduce t…
cs.SD2023★ 1 cited
Music Source Separation with Band-Split RoPE Transformer
Wei-Tsung Lu, Ju-Chiang Wang, Qiuqiang Kong +1
Music source separation (MSS) aims to separate a music recording into multiple musically distinct stems, such as vocals, bass, drums, and more. Recently, deep learning approaches s…