Teimusicpatterns
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RESEARCHERS AND MUSICIANS

Our team is made up of researchers and/or musicians of different backgrounds. Therefore, the lines of research focus on musical structure with multidisciplinary approaches. Among these approaches, we find:
01
COMPUTING

We work with algorithmic cutting lines, such as pattern search or automatic composition.

We are working with different institutions so that we can use the musical corpus for our project. We are working with different institutions so that we can use the musical corpus for our project. We will inform about it.

02
COGNITION

One of the research subgroups focuses its work on the Psychology of Music.

Towards an Automatic Detection of Rhetorical Patterns in the Renaissance Polyphonic Music. The 6th International Workshop on Musical Metacreation. Salamanca. → https://www.researchgate.net/publication/328881226_Towards_an_Automatic_Detection_of_Rhetorical_Patterns_in_the_Renaissance_Polyphonic_Music
Padilla, V., Tizón M., Gomez, F. ,Espigares, M. ,Alonso, E.
Padilla, V., Tizón M., Gomez, F. ,Espigares, M. ,Alonso, E.
(2018)
Rhetorical Pattern Finding. International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI). vol. 8 no. 2, pp. 182-189. → https://doi.org/10.9781/ijimai.2022.10.002
Gómez, F; Tizón, M; Arronte, A. y Padilla, V.
Gómez, F; Tizón, M; Arronte, A. y Padilla, V.
(2023)
Validación de criterios en la detección de la similitud percibida. Una propuesta de ground truth para patrones melódicos a partir de la obra religiosa de Victoria. II Congreso Internacional de la Comisión de Trabajo "Música y contextos en el mundo ibérico medieval y renacentista". Borja. → https://medyren.wixsite.com/medyren-sedem/ii-encuentro-borja-2019
Tizón, M., Martín, R, y Gómez, F.
Tizón, M., Martín, R, y Gómez, F.
(2019)

Articles and outreach activities.

THE TEAM

The general objective is to determine whether there are characteristic melodic and structural patterns in the genres of popular music of Spanish oral tradition.

Manuel Tizón

PRINCIPAL RESEARCHER

He holds a PhD cum laude, a master’s degree twice (music creation and pedagogy) and a degree in Musicology, Composition (end of career award), Guitar and Pedagogy from the Royal Conservatory of Music in Madrid. His lines of research are emotions in music, both from a more cognitive and a more philosophical and historical approach. Another line of interest is located in teaching, hence part of his publications are related to this area, both from a point of view of emotions and specific methods independent of them. Similarity in music is the other line of research, which is directly related to TEIMUS.

He is accredited as Full Professor by ANECA and is currently pursuing his second PhD in Psychology of Music at UNED.

ORCID, GoogleScholar y PUBLONS

Víctor Padilla
RESEARCHER (UNIR)

Dean of the Faculty of Arts and Social Sciences at UNIR.

Composer, engineer and musical researcher. Doctor from the URJC, Degrees in Composition and Accompaniment (Piano) from the RCSMM, MA Composition of Music for Film and TV University of Bristol, Master in Musical Creation and Performance URJC, Ing. T. Telec. from the UPM, DEA in Artificial Intelligence and UNED. He has worked as a musical researcher at the Lancaster Institute for the Contemporary Art of Lancaster University (United Kingdom) and in the “Learning to Create” Project as a researcher at the University of the Basque Country, coordinated by the Queen Mary University of London. Research lines include: Music Information Retrieval, Markov Models, ANN in music research, OMR, Optical Music Recognition, Sound Synthesis, Electroacoustic, Electronic, Concert and Audiovisual Musical Composition. Accredited as a Professor of a Private University by ANECA with 1 six-year period of research

ORCID, GoogleScholar y PUBLONS

Paco Gómez
RESEARCHER (UNIR)

Mathematics professor at Technical University of Madrid (UPM). He obtained a PhD from the UPM with the supervision of Godfried Toussaint (McGill University). His does research on mathematical music theory and music technology. His main research interests are musical similarity, mathematical measures of rhythm complexity, mathematical theory of scales, emotions in music, and mathematical models of singing voice. This includes the application of deep learning architectures such as convolutional neural networks. In the field of teaching, he does research on teaching mathematics via the arts and active learning methods. He is member of the UPM doctorate program Música y su Ciencia y Tecnología (Music and its Science and Technology). Dr. Gómez currently teaches courses in both the Mathematics degree program and the Data Science and Artificial Intelligence degree program at UPM. Dr. Gómez has authored numerous articles in prestigious journals specializing in mathematics, music, and artificial intelligence, including the Journal of Mathematics and Music, Journal of New Music Research, and the International Journal of Interactive Multimedia and Artificial Intelligence.
His h-index is 18. He obtained 3 six-year research periods granted by ANECA. He is on ORCID.

Kike Gutiérrez
RESEARCHER (UNIR)

Mathematics professor at Technical University of Madrid (UPM). He obtained a PhD from the UPM with the supervision of Godfried Toussaint (McGill University). His does research on mathematical music theory and music technology. His main research interests are musical similarity, mathematical measures of rhythm complexity, mathematical theory of scales, emotions in music, and mathematical models of singing voice. This includes the application of deep learning architectures such as convolutional neural networks. In the field of teaching, he does research on teaching mathematics via the arts and active learning methods. He is member of the UPM doctorate program Música y su Ciencia y Tecnología (Music and its Science and Technology). Dr. Gómez currently teaches courses in both the Mathematics degree program and the Data Science and Artificial Intelligence degree program at UPM. Dr. Gómez has authored numerous articles in prestigious journals specializing in mathematics, music, and artificial intelligence, including the Journal of Mathematics and Music, Journal of New Music Research, and the International Journal of Interactive Multimedia and Artificial Intelligence.
His h-index is 18. He obtained 3 six-year research periods granted by ANECA. He is on ORCID.

Rafael Martín Castilla


Rafael Martín Castilla is a professor at the Royal Conservatory of Music of Madrid (RCSMM). His academic and professional career spans over 25 years of teaching experience in higher music education, master’s programs, and teacher training programs. He has also held roles in academic management, serving as Academic Coordinator for the Bachelor’s Degree in Music (UNIR) as well as the Master’s Degree in Artistic Education in Performance and Performative Research in Spanish Music (RCSMM).
He holds a Ph.D. in Music Education from the University of Alcalá and complemented his academic training with research proficiency in Social and Cultural Anthropology from UNED and a strong foundation in musicology obtained at the RCSMM. His research focuses on the intersection between ethnomusicology and music education, with a particular emphasis on intercultural integration, cultural equity, and the anthropology of music.
Throughout his career, he has taught more than 50 different courses related to ethnomusicology, music education, and historical musicology. These include “Oral Tradition Music” and “Scientific and Artistic Research Methods.” As a researcher, he has supervised master’s theses and doctoral dissertations, exploring topics such as historical musicology, music pedagogy, music therapy, musical composition with new technologies. His research activity is structured around three main areas of interest: Ethnomusicology and oral tradition music, Music education and interculturality, Technology and music.
He is a member of the Editorial Board of Nassarre, the Aragonese Journal of Musicology, and has held leadership positions in the Sociedad de Etnomusicología (SIBE), contributing to the organization of conferences and scientific publications.
Rafael Martín Castilla combines a solid musicological background, an interdisciplinary research methodology, and a continuous commitment to teaching and cultural dissemination. His works and publications reflect a clear focus on ethical responsibility in music education and intercultural dialogue.

Brian Martínez

RESEARCHER (UNIR)

Professor of Musical Technology, Composer, Physicist, Cultural Manager, and Researcher, specializing in computer-assisted musical composition and emerging trends in music, as well as their intersection with new technologies. His research focuses on artificial musical creativity, automated systems for music style classification and recommendation, and models of artificial empathy generation. He studied Physics at the University of Valencia and later earned a Bachelor’s Degree in Music, specializing in Composition, from the Joaquín Rodrigo Conservatory of Music in Valencia. He also holds a Master’s Degree in Musical Research from the International University of La Rioja, a Master’s Degree in Advanced Artificial Intelligence from the National Distance Education University (UNED), and a PhD in Art: Production and Research from the Polytechnic University of Valencia. He has collaborated as a research associate at the Polytechnic University of Valencia and worked as a computer analyst and software architect in the private sector. Since 2018, he has held the position of Professor of Musical Technology at Higher Conservatory of Music, a role earned through a competitive examination. Additionally, he has extensive experience as a cultural manager, having been the general manager of the Joven Orquesta Turina and the artistic director of various musical series. Currently, he is a member of the Latin GRAMMY Academy. As a composer, he has received commissions from prominent soloists such as Ronald Romm, John Manning, Paul Archibald, Jacques Mauger, John Faieta, Piero Bonaguri, Viktoria Elisabeth Kaunzner, and Daniel Sachs, as well as from ensembles like Trio Anima, Duo Harpverk, The Atlantic Brass Quintet, the Maimonides University Orchestra, the Concertante String Orchestra, the Stradivari Symphony Orchestra, and the Joven Orquesta Turina, among others. His accolades include the Valencia Crea Award 2014, the Juan Bautista Comes International Composition Award 2013, the First Prize in the Horacio Salgán International Competition 2012, and the First Prize in the II Isla Verde International Competition 2012. His works are currently published by Springer, Barry Editorial and Ediciones Piles. ORCID, PUBLONS y GoogleScholar

Eulalia Febrer

RESEARCHER (UNIR)

Eulalia Febrer Coll is the Deputy Director of the Music Department at Universidad Internacional de la Rioja (UNIR), where she also holds the position of Academic Coordinator of the MA in Musicology, and lecturer. She holds a PhD in Popular Music from Cardiff University, MA from Universitat de Barcelona, and BA from Escola Superior de Música de Catalunya. Her current research focuses on the study of music in competitive gaming and ludomusicology, as well as on the application of ethnomusicology to media studies. She is the IP at Research Group FOR MUSIC at UNIR, member of LudoSpain, and cofounder of Grup de Recerca Musicològica de Menorca [Musicological Research Group of Menorca]. Eulalia is currently a board member at Sociedad de Etnomusicología (SIBE).

Cristian Antoñanzas

TECHNICIAN AND RESEARCHER (UNIR)

He received the M.Sc. degree in Acoustics and the Ph.D. degree in Telecommunications engineering from the Polytechnic University of Valencia (UPV) in 2011 and 2019, respectively. His Ph.D. research was on the study of distributed adaptive algorithms to develop multichannel sound field control systems over acoustic sensor networks. He is currently Associate Professor in acoustics and audio processing and Researcher with the TEIMUS Group at the Universidad Internacional de La Rioja (UNIR). He is a Member of the Audio Engineering Society. Very passionate about interaction between music and acoustics, psychoacoustic, 3D binaural sound capture/reproduction and audio FX. His research interests include personal sound zones, spatial audio, MIR, generative music and VR/AR. ORCID; WoS; GScholar.

Juan GonzálezCastelao

RESEARCHER (UNIR)

Musicologist, conductor, translator and arts manager. PhD in Musicology (Universidad de Oviedo), MA in Cultural and Creative Industries Management (UEMC), BA+MA in Geography and History (Musicology and History of Art; U. Oviedo), BMus in Violin Performance (Conservatory of Oviedo), with studies in Orchestra and Choir Conducting at Indiana University and Sweelinck Conservatorium Amsterdam, thanks to scholarships from the governments of Asturias and Navarra. VIII Orfeón Donostiarra-UPV Prize for Musical Research (2008) and Edison Fellow 2008 of the British Library. Member of SEdeM, SIBE, IASMP and IMBRA. Member of the TEIMUS and LexiMus research groups. Research fields: music industries, popular/traditional music, symphony orchestras, conducting, music management, reception, lexicography, applied ethics.

Currently, assistant professor in the Music Department at Universidad Internacional de La Rioja (UNIR) and Universidad Alfonso X el Sabio (UAX), and director of Master’s Theses at Universidad Internacional de Valencia (VIU). He has also given courses at the UEMC, UIMP, UPV, University of Oviedo and the Oviedo Conservatory, as well as given lectures at SGAE, BNE, CSMA and CASyC . Since 1998 he has dedicated his musicological activity especially to the translation of key texts on Music History and Theory for Ediciones Akal, such as «A Generative Theory of Tonal Music» by Lerdahl & Jackendoff, and the six volumes of «Western Music in Context: A Norton History», directed by Frisch. Between 1999 and 2006, he was active as a conductor (JOSVE, Georgetown Bach Chorale, Vancouver Philharmonic, OSPA, OSN, OSL, OFA). As a cultural manager, he has been successively linked to the Barenboim-Said Foundation, Dartington Hall, FIBICC and EUYO.