Recognition of Monophonic Musical Notes Using Short-time Autocorrelation Estimate

Abstract:- In this paper, we develop a method to obtain pitch frequency of monophonic musical signals. The auto-correlation function is used as the main feature to discriminate the notes. Acoustical signals are recorded from an electronic piano, digitized and stored on a computer. Feature extraction, i.e., the short-time autocorrelation computation, is performed and then notes are recognized by using the proposed peak search method. Examples are presented to illustrate the performance of our method. Key-Words:- Monophonic music transcription, Musical note recognition, Acoustic signal processing