Modeled on research observations in human perception and cognition, Clio identifies key melodic patterns along with their likely variations. Translation? Clio comprehends music the way trained musicians do and understands what makes every piece of music unique.
Clio reveals how music may be influentially related.
Clio shows the extent to which multiple pieces are influentially (or even historically) related, a process similar to the way human DNA allows scientists to determine precise ancestral relationships between people.Clio recognizes music in different contexts.
Clio doesn't depend on hearing the same music in identical (or even similar) settings. Whether a work is performed by a pair of dueling banjos, a symphony orchestra, or on a kazoo, Clio will recognize it and conduct successful analysis within the different performance contexts.Clio follows the flow of creativity.
The product of extensive research, Clio's ASMID™ algorithms are capable of analyzing individual instrument layers to capture the flow of creative ideas. This patent pending technology allows Clio to model the elements responsible for musical style, and ultimately discover the specific characteristics of individual composers.
Parsing Musical Language: An Automated Approach
This brief video explores the ways in which Clio meets the difficult technical challenges of musical data mining.
The focus is on core design principles and does not require any musical or technical expertise. Watch Now!