A study of transcript algorithm for multi-voice music applying wavelet packets

Abstract

A transcript algorithm suitable for multi-voice music which sounds several tones simultaneously has been developed. The algorithm to which Wavelet Packets analyses and Extended Kalman Filtering are applied is designed for log-normal state vector, distributed initial phase and observation noise under the Central Limit Theorem. Derivation of the algorithm as well as practical performance for transcription of chords, intervals and single tones are introduced.