Decoding and Visualising Intended Emotion in an Expressive Piano Performance

Shreyan Chowdhury; Gerhard Widmer

Decoding and Visualising Intended Emotion in an Expressive Piano Performance

Institute of Computational Perception

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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

Original language	English
Title of host publication	Late-Breaking/Demo Papers, 23rd International Society for Music Information Retrieval Conference (ISMIR 2022)
Number of pages	5
Publication status	Published - 2022

Fields of science

202002 Audiovisual media
102 Computer Sciences
102001 Artificial intelligence
102003 Image processing
102015 Information systems

JKU Focus areas

Digital Transformation

Cite this

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