Self-learning Acoustic Feature Generation and Selection for the Discrimination of Musical Signals

Optimal features for the discrimination of musical signals are largely discussed. Herein we therefore present a selflearning approach to this problem based on time series analysis and evolutionary feature-space optimization. The feature basis is formed by a multiplicity of dynamic acoustic Low-Level-Descriptors as pitch, intensity, and spectral information… CONTINUE READING