RECOGNITION OF MUSICAL RHYTHM PATTERNS BASED ON A NEURO-FUZZY-SYSTEM

The task of recognizing patterns and assigning rhythmic structure to unquantized musical input is a fundamental one for interactive musical systems and for search in music databases since melody is based on rhythm. We use a combination of combinatorial pattern matching with a match quality rating by a Neuro-Fuzzy system that incorporates musical knowledge and operates on perceptually relevant features extracted from the input data. It can learn form relatively few expert examples and shows improved recognition results compared to conventional quantization and