Automatic Music Transcription: An Experiment with Simple Tools

Władysław Homenda

Abstract

This study is focused on an automatic music transcription, i.e. converting acoustic music, stored in the form of WAVE files, to MIDI like data. An experiment on this topic is the key point of the paper. The experiment is aimed on determining what kinds of music could be successfully recognized with a simple tool rather than on searching for new recognition methods. Fourier transform was used as the recognition tool. It was utilized for analysis of music of simple harmony played with basic musical instruments.
Author Władysław Homenda ZZIMN
Władysław Homenda,,
- Department of Applied Computer Science and Computation Methods
Pages256-267
Book Tang Yongchuan, Huynh Van-Nam, Lawry Jonathan (eds.): Integrated Uncertainty in Knowledge Modelling and Decision Making, Lecture Notes In Computer Science, no. 7027, 2011, Springer Berlin Heidelberg, ISBN 978-3-642-24917-4, 978-3-642-24918-1
Keywords in EnglishAlgorithm Analysis and Problem Complexity, Artificial Intelligence (incl. Robotics), Database Management, Data Mining and Knowledge Discovery, Fourier transform, Hanning window, Information Storage and Retrieval, Information Systems Applications (incl. Internet), live music, music transcription, spectral analysis
URL http://link.springer.com/chapter/10.1007/978-3-642-24918-1_27
Score (nominal)3
Citation count*0 (2016-05-25)
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