An European and Ibero-American approach for the digital collection, analysis and dissemination of folk music

Informations projet

EA-DIGIFOLK

N° de convention de subvention: 101086338

DOI

10.3030/101086338

Date de signature de la CE 27 Septembre 2022

Date de début 1 Janvier 2023

Date de fin 31 Decembre 2026

Financé au titre de

• Marie Skłodowska-Curie Actions (MSCA)

Coût total

Aucune donnée

Contribution de l’UE

€ 818 800,00

Coordonné par

UNIVERSIDAD DE SALAMANCA
Spain

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Websites, patent fillings, videos etc. (3)

Digital Database

First Digital Database Built

Collaborative web

Collaborative section to get new material and edit the existing one

Toolbox

Toolbox for folk music pattern discovery

Data sets, microdata, etc (3)

Final Database

Final database with the data analysed and labeled.

Final Dataset

Final dataset with music collected

Dataset v1

First approach of the dataset

Data Management Plan (1)

Data Management Plan

Report with the information about how to manage data according to the call.

Documents, reports (4)

Lyrics Report

Technical report with the conclusions of the study on lyrics analysis

Models of folk music

Model for the characterization of folk music

Methodology Template

Technical template with the methodology for music collection

Computing model of folk music

Technical report of models and algorithms for computing folk similarity

Publications

Book chapters (1)

Ecopatrimonio y música popular de tradición oralel impacto de las prácticas vivas en la consecución de los ODS en educación primaria

Auteurs: Sara González, Javier Merchán
Éditeur: Octaedro

Peer reviewed articles (4)

Artificial Intelligence-Assisted Music Education: A Critical Synthesis of Challenges and Opportunities

Auteurs: Javier Félix Merchán Sánchez-Jara, Sara González Gutiérrez, Javier Cruz Rodríguez, Bohdan Syroyid Syroyid
Publié dans: Education Sciences, Numéro 14, 2024, ISSN 2227-7102
Éditeur: MDPI AG
DOI: 10.3390/educsci14111171

FluidHarmony: Defining an equal-tempered and hierarchical harmonic lexicon in the Fourier space

Auteurs: Gilberto Bernardes, Nádia Carvalho, Samuel Pereira
Publié dans: Journal of New Music Research, Numéro 51, 2023, ISSN 0929-8215
Éditeur: Informa UK Limited
DOI: 10.1080/09298215.2023.2202641

Collaborative Composition and Urban Popular Music in Digital Music Didactics

Auteurs: Javier F. Merchán-Sánchez-Jara, Sara González-Gutiérrez
Publié dans: Education Sciences, Numéro 13, 2023, ISSN 2227-7102
Éditeur: MDPI AG
DOI: 10.3390/educsci13080771

IEEE Access

Auteurs: Diego M Jiménez-Bravo, Álvaro Lozano Murciego, Juan José Navarro-Cáceres, María Navarro-Cáceres, Treasa Harkin
Publié dans: IEEE Access, ISSN 2169-3536
Éditeur: IEEE
DOI: 10.1109/ACCESS.2024.3421639

Thesis and dissertations (2)

Irish Folk Music Similarity: Comparing Engineered Features with Deep Learning Embeddings

Auteurs: Luís Miguel Rodrigues Guimarães (Supervised by Gilberto bernardes)
Éditeur: University of Porto, Faculty of Engineering

Visualização de Arquivos Musicais/Visualization of Music Archives

Auteurs: Simão Almeida Pereira (Supervisors: Catarina Maçãs and Pedro Martins)
Publié dans: 2024
Éditeur: Universidade de Coimbra

Conference proceedings (14)

PAYADOR: A Minimalist Approach to Grounding Language Models on Structured Data for Interactive Storytelling and Role-playing Games

Auteurs: S. Góngora, Chiruzzo, L., Méndez, G., and Gervás, P.
Publié dans: 15th International Conference on Computational Creativity, 2024

Tagging Narrative with Propp's Character Functions Using Large Language Models

Auteurs: P. Gervás and Méndez, G.
Publié dans: Seventh International Workshop on Narrative Extraction from Texts (Text2Story 2024), 2024

Computational Similarity of Portuguese Folk Melodies Using Hierarchical Reduction

Auteurs: Nádia Carvalho, Daniel Diogo, Gilberto Bernardes
Publié dans: Proceedings of the 10th International Conference on Digital Libraries for Musicology, 2024
Éditeur: ACM
DOI: 10.1145/3625135.3625152

Erato: Automatizing Poetry Evaluation

Auteurs: Manex Agirrezabal, Hugo Gonçalo Oliveira, Aitor Ormazabal
Publié dans: Lecture Notes in Computer Science, Progress in Artificial Intelligence, 2023
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-49011-8_1

Modal Pitch Space: A Computational Model of Melodic Pitch Attraction in Folk Music

Auteurs: Gilberto Bernardes, Nádia Carvalho
Publié dans: Lecture Notes in Computer Science, Mathematics and Computation in Music, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-60638-0_15

Distributing Creative Responsibility Between a Knowledge-Based Content Determiner and a Neural Text Realizer

Auteurs: P. Gervás and Méndez, G.
Publié dans: 23rd EPIA Conference on Artificial Intelligence (Thematic Track AI and Creativity), 2024

Configuring an LLM Chatbot as Practice Partner for Language Learning

Auteurs: P. Gervás, León, C., Kumar, M., Méndez, G., and Bautista, S.Configuring an LLM Chatbot as Practice Partner for Language Learning
Publié dans: 18th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2024), 2024

EA-DIGIFOLK: Digitizing and encoding Irish Traditional Music at ITMA

Auteurs: Patricia García-Iasci (p), (Javier Merchán, María Navarro), David Rizo (p).
Publié dans: IAML Conference
Éditeur: IAML

Artificial Intelligence system for digitalization of traditional folk music performances

Auteurs: Álvaro Lozano Murciego, Diego Manuel Jiménez Bravo, Daniel Hernández De la Iglesia, Héctor Sánchez San Blas and Gabriel Villarrubia González
Éditeur: IEEE

Automated Detection System for Portuguese Musical Instruments

Auteurs: Luís Augusto Silva, Héctor Sánchez San Blas, André Sales Mendes, Álvaro Lozano Murciego, Diego M. Jiménez-Bravo
Publié dans: Lecture Notes in Computer Science, Progress in Artificial Intelligence, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73497-7_2

Chords and Scales Applications: A Case Study Towards the Application in Music Education and Technology

Auteurs: García-Iasci Patricia, Merchán Sánchez-Jara Javier, González Gutiérrez Sara
Publié dans: Lecture Notes in Educational Technology, Proceedings of TEEM 2023, 2024
Éditeur: Springer Nature Singapore
DOI: 10.1007/978-981-97-1814-6_135

Evaluation of Lyrics Extraction from Folk Music Sheets Using Vision Language Models (VLMs)

Auteurs: André Sales Mendes, Álvaro Lozano Murciego, Luís Augusto Silva, Diego M. Jiménez-Bravo, María Navarro-Cáceres, Gilberto Bernardes
Publié dans: Lecture Notes in Computer Science, Progress in Artificial Intelligence, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73497-7_8

Segmenting Narrative Synopses on Event Reporting Mode based on Heuristics on Constituency Parses

Auteurs: Gervás, P.
Publié dans: Sixth International Workshop on Narrative Extraction from Texts (Text2Story 2023), 2023

Exploring Mode Identification in Irish Folk Music with Unsupervised Machine Learning and Template-Based Techniques

Auteurs: Juan José Navarro-Cáceres, Nádia Carvalho, Gilberto Bernardes, Diego M. Jiménez-Bravo, María Navarro-Cáceres
Publié dans: Lecture Notes in Computer Science, Mathematics and Computation in Music, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-60638-0_34

Other (1)

Inteligencia artificial generativa y música tradicional: Recursos docentes y personalización de los aprendizajes

Auteurs: Sara González, Javier Merchán
Éditeur: FUTUREDUCA

Monographic books (1)

La canción popular en la educación musical: AI, técnicas machine y deep learning

Auteurs: Sara González, Javier Merchán
Éditeur: Dykinson S.L.