The UA organizes a new course of Artificial Intelligence applied to music at its headquarters in Torrevieja

La Sede de la Universidad de Alicante en Torrevieja and el Instituto Municipal de Cultura “Joaquín Chapaprieta” organize the course “Informática Musical”, a new training that pretends to offer a new labor perspective, either research or industrial. The course consists of 15 hours distributed in five sessions, given at the Centro Cultural Virgen del Carmen, on November 15, 22 and 29, December 13 and 20, from 17 to 20 hours.

Los organizadores affirman que, hoy día, la música plays a very relevant role in society, ya sea como consumidor de música en plataformas de streaming o como aficionado o profesional de un instrumento. Currently, we find a large number of technological developments that work with musical data, with the objective of improving the experience of the end user. Así, el curso abordará aspectos conceptuales, técnicos y tasks como la clasificación de música, la transcripción musical por ordenador o la composición automatica, integrando de forma las utilizados las tools, la inteligenia artificial y el procesado de signa.

Professorship

Jorge Calvo Zaragoza

Ingeniero en Informática y Doctor por la Universidad de Alicante. Postdoctoral researcher at McGill University (Montreal, Canada) and at the Universidad Politécnica de Valencia. From 2022, I am Professor Titular at the University of Alicante. Su línea de investigación consiste en el desarrollo de tecniques de inteligenia artificial especially focused on the musical environment. Within this topic, he has published more than 60 articles in magazines of high impact and international congresses of prestige. Has participated as a researcher in 8 national projects and 2 European projects. He is currently the Principal Investigator of the project “MultiScore: Transcripción Multimodal de Partituras Musicales”. For his research career, he received in 2018 the national award “Jóvenes Investigadores en Informática” awarded by the Sociedad Científica Informática de España and the Fundación BBVA. He is currently directing 5 doctoral theses, all related to Musical Informatics.

José Javier Valero Mas

Ingeniero en Telecomunicación por la Universidad Miguel Hernández de Elche (2012) y Doctor en Informática por la Universidad de Alicante (2017), he also holds a master’s degree in Sound Technologies and Music from the Universitat Pompeu Fabra de Barcelona (2013). Postdoctoral researcher at the University of Alicante and the University Pompeu Fabra. His interests and lines of research are centered on signal processing, automatic learning and the application of the same tasks of extraction and recovery of musical information. In terms of teaching, the focus of experience is mainly on subjects related to digital sound synthesis and automatic learning. He has been a member of some centers of worldwide relevance in the field of Musical Informatics: the Digital Audio Research Group of the Dublin Institute of Technology (Dublín, Ireland); el Music Technology Group de la Universitat Pompeu Fabra (Barcelona) and el Center for Digital Music de la Queen Mary University of London (Londres, Reino Unido). Likewise, he has actively participated in conferences científicas de este campo (International Society of Music Information Retrieval, Sound and Music Computing conference, International Workshop on Music and Machine Learning, etc.).

José Manuel Iñesta Quereda

Licenciado y doctor en Ciencias Físicas por la Universidad de 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 in Alicante (from 1998 to the present) as a professor at the Department of Languages ​​and Information Systems. He is the author and editor of 12 books, alrededor de 50 articles in national and international magazines, 50 book chapters and more than 100 presentations at scientific conferences. He has participated in the development and direction of about 30 research projects of both national and international scope in diverse fields, such as computer applications in medicine and psychology, medical image analysis, the use of pattern recognition techniques and automatic learning in music, medicine, robotics and digital libraries, among other lines of work. Currently, he is the coordinator of the research group in Shape Recognition and Artificial Intelligence at the University of Alicante. The main lines of current research are classification algorithms and automatic learning applied to signals in general and music in particular, as well as to all areas related to sound design and computer music.

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