A computer-implemented method and system (82) for monitoring, identifying, classifying and logging musical work performance broadcasts over the public airwaves. The system (82) uses a neural network (118) to classify specially-processed 'retinal' signatures (114) of the musical work performance. The neural network (118) is trained for each musical work using a single noise-biased retinal sample of the spectral distribution of preselected dynamic features of the corresponding audio signal. A detection decision is made at the neural network output (120) using fuzzy logic circuitry (124) to compare results of predetermined thresholding (122). The system (82) of this invention fully automates the real-time identification of broadcast musical work performances.
ADAPTIVE SYSTEM FOR BROADCAST PROGRAM IDENTIFICATION AND REPORTING