The UA headquarters in Torrevieja organizes a new course on Artificial Intelligence applied to music

The Headquarters of the University of Alicante in Torrevieja and the Municipal Institute of Culture "Joaquín Chapaprieta", organize the course "Musical Informatics", a new training that aims to offer a new labor aspect, whether research or industrial. The course consists of 15 hours distributed in five sessions, given at the Virgen del Carmen Cultural Center, on November 15, 22 and 29, December 13 and 20, from 5:00 p.m. to 8:00 p.m. Registration at: https://web.ua.es/es/seus/torrevieja/

The organizers affirm that, today, music plays a very important role in society, whether as a consumer of music on streaming platforms or as an amateur or professional of an instrument. Currently, we find a large number of technological developments that work with musical data, with the aim of improving the end user experience. Thus, the course will address conceptual and technical aspects and tasks such as music classification, musical transcription by computer or automatic composition, naturally integrating the tools used, artificial intelligence and signal processing.

Faculty

Jorge Calvo Zaragoza: Computer Engineer and Doctor from the University of Alicante. Postdoctoral researcher at McGill University (Montreal, Canada) and at the Polytechnic University of Valencia. Since 2022, he is a Full Professor at the University of Alicante. His line of research consists of the development of artificial intelligence techniques especially focused on the musical field. Within this subject, he has published more than 60 articles in high-impact journals and prestigious international conferences. He has participated as a researcher in 8 national projects and 2 projects at European level. He is currently the Principal Investigator of the project “MultiScore: Multimodal Transcription of Musical Scores”. For his research career, he received in 2018 the national award "Young Researchers in Computer Science" awarded by the Computer Science Society of Spain and the BBVA Foundation. He currently directs 5 doctoral theses, all related to Musical Informatics.

José Javier Valero Mas: Telecommunications Engineer from the Miguel Hernández University of Elche (2012) and Doctor of Computer Science from the University of Alicante (2017), he also has a master's degree in Sound and Music Technologies from the Pompeu Fabra University of Barcelona (2013). Postdoctoral researcher at the University of Alicante and the Pompeu Fabra University. His interests and lines of research focus on signal processing, machine learning and their application to musical information extraction and retrieval tasks. In terms of teaching, his experience is mainly focused on subjects related to digital sound synthesis and machine learning. He has been a member of some of the world's leading centers in the field of Music Informatics: the Digital Audio Research Group of the Dublin Institute of Technology (Dublin, Ireland); the Music Technology Group of the Universitat Pompeu Fabra (Barcelona) and the Center for Digital Music of the Queen Mary University of London (London, United Kingdom). He has also actively participated in scientific conferences in this field (International Society of Music Information Retrieval, Sound and Music Computing conference, International Workshop on Music and Machine Learning, etc.).

José Manuel Iñesta Quereda: Graduate and doctor in Physical Sciences from the University of Valencia. He worked in a private company developing computer applications for medicine and psychology. He joined the Jaume I University of Castellón as a professor in 1991 and then that of Alicante (from 1998 to the present) where he is a university professor in the Department of Computer Languages and Systems. He is the author or editor of 12 books, about 50 articles in national and international journals, about 50 book chapters and more than 100 papers presented at scientific conferences. He has participated in the development or direction of some 30 national and international research projects in various fields, such as computer applications in medicine and psychology, the analysis of medical images, the use of pattern recognition techniques and machine learning in music, medicine, robotics or digital libraries, among other lines of work. He is currently coordinator of the research group on Pattern Recognition and Artificial Intelligence at the University of Alicante. His main current lines of research are classification and machine learning algorithms applied to signals in general and to music in particular, as well as all areas related to sound design and music by computer.