Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Francisco Braga

dblp:289/8560 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0002-9094-6320ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Audio and music processing · 100%
Artificial intelligence
1 paper
Planning, search and constraint satisfaction · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Audio and music processing › music generation
algorithmic composition
0.912025
Algorithmic Composition Using Narrative Structure and Tension · IJCAI 2025

Methods — techniques the papers use, named apart from their topics

leitmotif · 1.7generative grammar · 1.7evolutionary algorithm · 1.7
YearPublicationVenuePosition
2025 Algorithmic Composition Using Narrative Structure and Tension
abstract
This paper describes an approach to algorithmic music composition that takes narrative structures as input, allowing composers to create music directly from narrative elements. Creating narrative development in music remains a challenging task in algorithmic composition. Our system addresses this by combining leitmotifs to represent characters, generative grammars for harmonic coherence, and evolutionary algorithms to align musical tension with narrative progression. The system operates at different scales, from overall plot structure to individual motifs, enabling both autonomous composition and co-creation with varying degrees of user control. Evaluation with compositions based on tales demonstrated the system's ability to compose music that supports narrative listening and aligns with its source narratives, while being perceived as familiar and enjoyable.
Francisco Braga, Gilberto Bernardes, Roger B. Dannenberg, Nuno Correia 0001
IJCAI1