The use of computational tools to assist education on music production and sound engineering.
Music production, sound engineering, music information retrieval, signal processing, machine learning.
Music production and sound engineering are important fields of work in the music industry. Both areas have interdisciplinary characteristics, approaching the most varied themes such as music, the study of performance, physics, audio, electronics, computing, engineering, interpersonal management, and others. The diversity and complexity demand from the professionals in these areas, a range of skills that must be built through a broad and well-founded study process. However, in the Brazilian context, the study of music production and sound engineering is scarce and, in some cases, even non-existent in a higher education context. Professionals in these areas are dependent on building their own knowledge through exchanges of experiences with other professionals and through courses that, many times, may not have a good content. Aiming to support the improvement of the learning process in music production and sound engineering in Brazil, this research discusses the implementation of a prototype of a tool that helps a student of these subjects in the construction of their learning. For this, concepts related to musical information retrieval research lines and new interfaces for musical expression will be studied. In addition, computational techniques focused on signal processing and machine learning will be explored and applied to music production and sound engineering problems, aiming to solve them. At the end of the project, the prototype will be evaluated by students, professionals and educators from the areas.