Application of Digital Sound Recognition on Piano Tones Using MFCC and LVQ

Abstract

In playing musical instruments especially the piano, a musician needs a score as the guidance to play the song. A score is a music sheet used by an artist to store or deliver a song. Many pianists do not have the expertise to create a score, especially in the making of spontaneous music. Therefore, an app is required to assist the pianists in the creation process of scores for piano music sounds. Mel-Frequency Cepstral Coefficient (MFCC) extraction method and Learning Vector Quantization method were implemented to build the application. The MFCC method was used to extract the vectors that reside in a song, while LVQ method was applied to match the testing data with the trained data. The output of this system is a musical score of the inputted song.