Search Results for author: Kat R. Agres

Found 3 papers, 1 papers with code

AffectMachine-Classical: A novel system for generating affective classical music

no code implementations11 Apr 2023 Kat R. Agres, Adyasha Dash, Phoebe Chua

This work introduces a new music generation system, called AffectMachine-Classical, that is capable of generating affective Classic music in real-time.

Music Generation

AI-Based Affective Music Generation Systems: A Review of Methods, and Challenges

no code implementations10 Jan 2023 Adyasha Dash, Kat R. Agres

In recent years, with significant advancement in computing capabilities, artificial intelligence-based (AI-based) approaches have become popular for creating affective music generation (AMG) systems that are empowered with the ability to generate affective music.

Music Generation

Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework

1 code implementation27 Apr 2021 Dimos Makris, Kat R. Agres, Dorien Herremans

In this paper, we present a novel approach for calculating the valence (the positivity or negativity of the perceived emotion) of a chord progression within a lead sheet, using pre-defined mood tags proposed by music experts.

Machine Translation Music Generation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.