Music may be described at a symbolic level in scores, readable to musicians, and in MIDI files, readable to musical machines. Playing a few bars for someone from these symbolic representations will usually provide sufficient information for this person to judge musical style, rhythm, phrasing and often composer and performer, too. The goal of this task is to establish algorithms, mimicking these human capabilities. Classic pattern recognition tools and contemporary attempts within rule based neural nets and genetic algorithms will be part of the tool box. It is a fact, that computers have changed human life, human behaviour and human creation of art.
Composing of music is no exception.
Composers of previous centuries may have had algorithmic attitudes towards their writing process to a limited extent, which supposedly goes for many a craftsmanship and artistic creating process. The appearance of computers in the music society has undoubtedly had quite a substantial impact on algorithmic thinking in composing processes. This task is aimed at surveying existing trends in computer music from a computer science technical point of view, and aimed at developing further tools for music composers. When it comes to the ultimate human-computer interaction in a musical performance situation, several modalities of perception are involved. In this task the interaction between vision and music is studied.