Abstract
An algorithm for music transcription system that listens to sounds and displays notes of the corresponding tones has been proposed. The algorithm features a two-stage processing that observes note length at first, and then, pitch names. The former stage effectively detects break points caused by starting of next note or frequency hop at pitch name changing with dyadic wavelet transforms. The latter stage analyzes component of each pitch name on the interval of the adjoining break points with Gabor wavelet. The algorithm is applied adaptive state estimation technique to cope with tones including considerable harmonics.
