Year: 2023
Type: preprint
Abstract: Expert musicians can mould a musical piece to convey specific emotions that they intend to communicate. In this paper, we place a mid-level features based music emotion model in this performer-to-listener communication scenario, and demonstrate via a small visualisation music emotion decoding in real time. We also extend the existing set of mid-level features using analogues of perceptual speed and perceived dynamics.
Source: arXiv (Cornell University)
Authors: Chowdhury, Shreyan, Widmer, Gerhard
Institution: Johannes Kepler University of Linz
Language: English
Topic: Music and Audio Processing
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
Awards: G1261784076, G1808229388, G434337789
OpenAlex ID: W4323323155