Artificial intelligence applied to music at the UA headquarters in Torrevieja

La Sede de la Universidad de Alicante en Torrevieja y el Instituto Municipal de Cultura “Joaquín Chapaprieta” organizan el curso “Informática Musical”, una novedosa formation que pretende que ofrece una nueva vertiente laboral, ya sea investigatrica o industrial. El curso consta de 15 hours distribuidas en cinco sesiones, impartidas en el Centro Cultural Virgen del Carmenlos días 15, 22 y 29 de noviembre, 13 y 20 de diciembre, en horario de 17 a 20 horas.

The organizers affirm that, today, music plays a very relevant role in society, as a consumer of music streaming platforms o como aficionado o profesional de un instrumento.

At the moment, we found a large quantity technological developments que trabajan con datos musicales, con el objetivo de mejorar la experiencia del usuario final. 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.

Inscriptions

cartel informatics musical


Professorship

Jorge Calvo Zaragoza

Ingeniero en Informática y Doctor por la Universidad de Alicante. Investigador postdoctoral en McGill University (Montreal, Canada) y en la Universidad Politécnica de Valencia. From 2022, es Professor Titular en la Universidad de 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. You are 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 in Informática por la Universidad de Alicante (2017), también cuenta con un máster en Tecnologías del Soundo y la Música por la Universitat Pompeu Fabra de Barcelona (2013). Postdoctoral researcher at the Universidad de Alicante y la Universitat Pompeu Fabra. SOur 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) y 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. Se incorporó como profesor a la universidad Jaume I de Castellón in 1991 luego a la de Alicante (desde 1998 hasta la actualidad) en la que es catedrático de universidad del departmenta de Lenguajes y Sistemas Informáticos. 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. En la actualidad es coordinator del grupo de investigación en Reconocimiento de Formas e Inteligencia Artificial de la Universidad de 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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