An Expert System Devoted to Automated Music Identification and Recognition
María Ángeles Fernández de Sevilla (Universidad de Acalá, Spain), Luis M. Laita (Universidad Politécnica de Madrid, Spain) and Eugenio Roanes-Lozano (Universidad Complutense de Madrid, Spain)
Copyright: © 2008
This chapter describes a logic and computer algebra based Expert System that automates identification and recognition of the cult music styles of the period XVII century - beginnings of the XX century. It uses a table that contains a list of characteristics (identifiers) of the music styles of the epoch, developed after interacting with a panel of experts. The user, while or after analysing a score, introduces the identifiers and the expert system returns the score’s style. These tentative identifications and recognitions could be interactively compared with those of experts. Therefore it may be a useful tool for teaching and learning history of music. The objectives are to organize the musical knowledge in an way admissible by the inference engine, to adapt and implement the inference engine (based on a powerful tool for effective polynomial computations named Gröbner bases) and to implement a GUI.