Interactive music systems: Machine listening and composing

Probabilistic Machine Listening for Interactive Music Performance Systems

Consider the following scenario: a performer is improvising freely on a musical instrument. A computer processes the audio input, extracts high level information including the pitch, tempo and expressive characteristics and responds to the performance in a musically meaningful way. Our aim in this work is to consider a computational framework to move us closer to the realisation of such a scena...

Towards autonomous agents for live computer music : realtime machine listening and interactive music systems

Musical agents which can interact with human musicians in concert situations are a reality, though the extent to which they themselves embody human-like capabilities can be called into question. They are perhaps most correctly viewed, given their level of artificial intelligence technology, as ‘projected intelligences’, a composer’s anticipation of the dynamics of a concert setting made manifes...

Crossroads: Interactive Music Systems Transforming Performance, Production and Listening

Music-Listening Systems

When human listeners are confronted with musical sounds, they rapidly and automatically orient themselves in the music. Even musically untrained listeners have an exceptional ability to make rapid judgments about music from very short examples, such as determining the music’s style, performer, beat, complexity, and emotional impact. However, there are presently no theories of music perception t...

Interactive Genetically Generated Music Composing with a Genetic Algorithm

This report investigates the use of genetic algorithms to compose music and examines various additions to an existing system in order to improve the richness and expression of the system’s compositions. The core system uses a genetic algorithm to generate unique melodies. Genetic algorithms are an application of the biological evolutionary process to computing; new elements are introduced to th...