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

Informazioni relative al progetto

EA-DIGIFOLK

ID dell’accordo di sovvenzione: 101086338

DOI

10.3030/101086338

Data della firma CE 27 Settembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 818 800,00

Coordinato da

UNIVERSIDAD DE SALAMANCA
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Book chapters (1)

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

Autori: Sara González, Javier Merchán
Editore: Octaedro

Peer reviewed articles (4)

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

Autori: Javier Félix Merchán Sánchez-Jara, Sara González Gutiérrez, Javier Cruz Rodríguez, Bohdan Syroyid Syroyid
Pubblicato in: Education Sciences, Numero 14, 2024, ISSN 2227-7102
Editore: MDPI AG
DOI: 10.3390/educsci14111171

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

Autori: Gilberto Bernardes, Nádia Carvalho, Samuel Pereira
Pubblicato in: Journal of New Music Research, Numero 51, 2023, ISSN 0929-8215
Editore: Informa UK Limited
DOI: 10.1080/09298215.2023.2202641

Collaborative Composition and Urban Popular Music in Digital Music Didactics

Autori: Javier F. Merchán-Sánchez-Jara, Sara González-Gutiérrez
Pubblicato in: Education Sciences, Numero 13, 2023, ISSN 2227-7102
Editore: MDPI AG
DOI: 10.3390/educsci13080771

IEEE Access

Autori: Diego M Jiménez-Bravo, Álvaro Lozano Murciego, Juan José Navarro-Cáceres, María Navarro-Cáceres, Treasa Harkin
Pubblicato in: IEEE Access, ISSN 2169-3536
Editore: IEEE
DOI: 10.1109/ACCESS.2024.3421639

Thesis and dissertations (2)

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

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

Visualização de Arquivos Musicais/Visualization of Music Archives

Autori: Simão Almeida Pereira (Supervisors: Catarina Maçãs and Pedro Martins)
Pubblicato in: 2024
Editore: Universidade de Coimbra

Conference proceedings (14)

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

Autori: S. Góngora, Chiruzzo, L., Méndez, G., and Gervás, P.
Pubblicato in: 15th International Conference on Computational Creativity, 2024

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

Autori: P. Gervás and Méndez, G.
Pubblicato in: Seventh International Workshop on Narrative Extraction from Texts (Text2Story 2024), 2024

Computational Similarity of Portuguese Folk Melodies Using Hierarchical Reduction

Autori: Nádia Carvalho, Daniel Diogo, Gilberto Bernardes
Pubblicato in: Proceedings of the 10th International Conference on Digital Libraries for Musicology, 2024
Editore: ACM
DOI: 10.1145/3625135.3625152

Erato: Automatizing Poetry Evaluation

Autori: Manex Agirrezabal, Hugo Gonçalo Oliveira, Aitor Ormazabal
Pubblicato in: Lecture Notes in Computer Science, Progress in Artificial Intelligence, 2023
Editore: 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

Autori: Gilberto Bernardes, Nádia Carvalho
Pubblicato in: Lecture Notes in Computer Science, Mathematics and Computation in Music, 2024
Editore: 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

Autori: P. Gervás and Méndez, G.
Pubblicato in: 23rd EPIA Conference on Artificial Intelligence (Thematic Track AI and Creativity), 2024

Configuring an LLM Chatbot as Practice Partner for Language Learning

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

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

Autori: Patricia García-Iasci (p), (Javier Merchán, María Navarro), David Rizo (p).
Pubblicato in: IAML Conference
Editore: IAML

Artificial Intelligence system for digitalization of traditional folk music performances

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

Automated Detection System for Portuguese Musical Instruments

Autori: Luís Augusto Silva, Héctor Sánchez San Blas, André Sales Mendes, Álvaro Lozano Murciego, Diego M. Jiménez-Bravo
Pubblicato in: Lecture Notes in Computer Science, Progress in Artificial Intelligence, 2024
Editore: 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

Autori: García-Iasci Patricia, Merchán Sánchez-Jara Javier, González Gutiérrez Sara
Pubblicato in: Lecture Notes in Educational Technology, Proceedings of TEEM 2023, 2024
Editore: 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)

Autori: André Sales Mendes, Álvaro Lozano Murciego, Luís Augusto Silva, Diego M. Jiménez-Bravo, María Navarro-Cáceres, Gilberto Bernardes
Pubblicato in: Lecture Notes in Computer Science, Progress in Artificial Intelligence, 2024
Editore: 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

Autori: Gervás, P.
Pubblicato in: 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

Autori: Juan José Navarro-Cáceres, Nádia Carvalho, Gilberto Bernardes, Diego M. Jiménez-Bravo, María Navarro-Cáceres
Pubblicato in: Lecture Notes in Computer Science, Mathematics and Computation in Music, 2024
Editore: 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

Autori: Sara González, Javier Merchán
Editore: FUTUREDUCA

Monographic books (1)

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

Autori: Sara González, Javier Merchán
Editore: Dykinson S.L.