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

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-SEID: 101086338
EC Contribution
€8,188
Consortium Size
8 orgs
Start Year
2023
Summary

Music is an element that is present in our daily lives. There are different styles of music, including classical, jazz, pop, rock, etc. There is a kind of music, folk music, which is of great interest due to its peculiar characteristics and the social context it represents or has represented. This music is a form of social and cultural identification that allows us to twin and recognize ourselves as folks, and also to promote cultural diversity through knowledge of other music. This project proposes creating a platform that contains and presents information about folk music from European and Ibero-American culture. The main goal is to create a whole paradigm in which folk music can be understandable from a ethnomusicological, musical and educative point of view. Furthermore, we aim to bring folk music closer to the public creating an interactive and attractive platform that incorporate multimedia information (audio files, scores, visual information about patterns and similarities, etc.). As the platform will be open to the common public, all people that might be interested in folk music can get access, enjoy the resources or even submit their own materials. Our goal is aligned with three main pillars: i) Create a new paradigm to make the musical and ethnomusicological analysis easier for the community; ii) Show knowledge discovery through the application of new technologies in the platform; iii) Bring folk music to educative and public environments. Our project complies with the digitalization pillars proposed in the strategic plan of MSCA, through the inclusion of computer sciences technologies to get a new vision in music analysis. It also helps to create a more resilient, inclusive and democratic European society and includes actions that are also mentioned in the cluster “Culture, Creative and Inclusive Society”, through the inclusion of folk repertoires that reflect cultural issues from different European and Ibero-american regions.

Consortium (8)

Project Results (35)

Source: CORDIS, the EU research results database.

Publications (23)
Artificial Intelligence-Assisted Music Education: A Critical Synthesis of Challenges and Opportunities
Education Sciences· 2024DOI
Javier Félix Merchán Sánchez-Jara, Sara González Gutiérrez, Javier Cruz Rodríguez, Bohdan Syroyid Syroyid
Automated Detection System for Portuguese Musical Instruments
Lecture Notes in Computer Science, Progress in Artificial Intelligence· 2024DOI
Luís Augusto Silva, Héctor Sánchez San Blas, André Sales Mendes, Álvaro Lozano Murciego, Diego M. Jiménez-Bravo
Chords and Scales Applications: A Case Study Towards the Application in Music Education and Technology
Lecture Notes in Educational Technology, Proceedings of TEEM 2023· 2024DOI
García-Iasci Patricia, Merchán Sánchez-Jara Javier, González Gutiérrez Sara
Computational Similarity of Portuguese Folk Melodies Using Hierarchical Reduction
Proceedings of the 10th International Conference on Digital Libraries for Musicology· 2024DOI
Nádia Carvalho, Daniel Diogo, Gilberto Bernardes
Configuring an LLM Chatbot as Practice Partner for Language Learning
18th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2024)· 2024
P. Gervás, León, C., Kumar, M., Méndez, G., and Bautista, S.Configuring an LLM Chatbot as Practice Partner for Language Learning
Distributing Creative Responsibility Between a Knowledge-Based Content Determiner and a Neural Text Realizer
23rd EPIA Conference on Artificial Intelligence (Thematic Track AI and Creativity)· 2024
P. Gervás and Méndez, G.
Evaluation of Lyrics Extraction from Folk Music Sheets Using Vision Language Models (VLMs)
Lecture Notes in Computer Science, Progress in Artificial Intelligence· 2024DOI
André Sales Mendes, Álvaro Lozano Murciego, Luís Augusto Silva, Diego M. Jiménez-Bravo, María Navarro-Cáceres, Gilberto Bernardes
Exploring Mode Identification in Irish Folk Music with Unsupervised Machine Learning and Template-Based Techniques
Lecture Notes in Computer Science, Mathematics and Computation in Music· 2024DOI
Juan José Navarro-Cáceres, Nádia Carvalho, Gilberto Bernardes, Diego M. Jiménez-Bravo, María Navarro-Cáceres
Modal Pitch Space: A Computational Model of Melodic Pitch Attraction in Folk Music
Lecture Notes in Computer Science, Mathematics and Computation in Music· 2024DOI
Gilberto Bernardes, Nádia Carvalho
PAYADOR: A Minimalist Approach to Grounding Language Models on Structured Data for Interactive Storytelling and Role-playing Games
15th International Conference on Computational Creativity· 2024
S. Góngora, Chiruzzo, L., Méndez, G., and Gervás, P.
Tagging Narrative with Propp's Character Functions Using Large Language Models
Seventh International Workshop on Narrative Extraction from Texts (Text2Story 2024)· 2024
P. Gervás and Méndez, G.
Visualização de Arquivos Musicais/Visualization of Music Archives
· 2024
Simão Almeida Pereira (Supervisors: Catarina Maçãs and Pedro Martins)
Collaborative Composition and Urban Popular Music in Digital Music Didactics
Education Sciences· 2023DOI
Javier F. Merchán-Sánchez-Jara, Sara González-Gutiérrez
Erato: Automatizing Poetry Evaluation
Lecture Notes in Computer Science, Progress in Artificial Intelligence· 2023DOI
Manex Agirrezabal, Hugo Gonçalo Oliveira, Aitor Ormazabal
FluidHarmony: Defining an equal-tempered and hierarchical harmonic lexicon in the Fourier space
Journal of New Music Research· 2023DOI
Gilberto Bernardes, Nádia Carvalho, Samuel Pereira
Segmenting Narrative Synopses on Event Reporting Mode based on Heuristics on Constituency Parses
Sixth International Workshop on Narrative Extraction from Texts (Text2Story 2023)· 2023
Gervás, P.
Artificial Intelligence system for digitalization of traditional folk music performances
Álvaro Lozano Murciego, Diego Manuel Jiménez Bravo, Daniel Hernández De la Iglesia, Héctor Sánchez San Blas and Gabriel Villarrubia González
EA-DIGIFOLK: Digitizing and encoding Irish Traditional Music at ITMA
IAML Conference
Patricia García-Iasci (p), (Javier Merchán, María Navarro), David Rizo (p).
Ecopatrimonio y música popular de tradición oralel impacto de las prácticas vivas en la consecución de los ODS en educación primaria
Sara González, Javier Merchán
IEEE Access
IEEE AccessDOI
Diego M Jiménez-Bravo, Álvaro Lozano Murciego, Juan José Navarro-Cáceres, María Navarro-Cáceres, Treasa Harkin
Inteligencia artificial generativa y música tradicional: Recursos docentes y personalización de los aprendizajes
Sara González, Javier Merchán
Irish Folk Music Similarity: Comparing Engineered Features with Deep Learning Embeddings
Luís Miguel Rodrigues Guimarães (Supervised by Gilberto bernardes)
La canción popular en la educación musical: AI, técnicas machine y deep learning
Sara González, Javier Merchán
Deliverables (11)
Websites, patent fillings, videos etc.
Data Management Plan
Data sets, microdata, etc
Websites, patent fillings, videos etc.
Data sets, microdata, etc
Data sets, microdata, etc
Documents, reports
Documents, reports
Documents, reports
Websites, patent fillings, videos etc.
Other Results (1)
Periodic Reporting for period 1 - EA-DIGIFOLK (An European and Ibero-American approach for the digital collection, analysis and dissemination of folk music)