Automatic Music Transcription: An Experiment with Simple Tools
AbstractThis 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.
|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 English||Algorithm 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|
|Citation count*||0 (2016-05-25)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.