DLVS4Audio2Sheet: Deep learning-based vocal separation for audio into music sheet conversion

• Main Authors: TEO, Nicole, WANG, Zhaoxia, GHE, Ezekiel, TAN, Yee Sen, OKTAVIO, Kevan, LEWI, Alexander Vincent, ZHANG, Allyne, HO, Seng-Beng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Music; Choral audio; Music sheet; Vocal separation; Audio-to-Sheet; Deep learning; Open-Unmix; Band-Split Recurrent Neural Networks (BSRNN); Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9160; https://ink.library.smu.edu.sg/context/sis_research/article/10163/viewcontent/4._DLVS4Audio2Sheet_Deep_Learning_based_Vocal_Separation_for_Audio_into_Music_Sheet_Conversion.pdf
• Institution: Singapore Management University

While manual transcription tools exist, music enthusiasts, including amateur singers, still encounter challenges when transcribing performances into sheet music. This paper addresses the complex task of translating music audio into music sheets, particularly challenging in the intricate field of cho...