Year: 2025
Type: conference-paper
Abstract: Figure 1: Workflow of AcaMate.Users iteratively practice during an individual A cappella rehearsal.Before singing (A), AcaMate separates the group recording into different voice parts, allowing users to create flexible and authentic mixes.During singing (B), AcaMate highlights musical patterns to help users perceive relationships between their part and others.After singing (C), AcaMate delivers intuitive feedback on pitch, rhythm, and dynamics.To facilitate iterative practice (D), AcaMate analyzes weak segments, offers suggestions, and sets practice goals for users.
Authors: Kexin Phyllis Ju, Ting-Yu Pan, Hao-Wen Dong
Institution: University of Michigan
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7084134549