Abstract / Excerpt:

Studies conducted about audio signals have become a field to which attracts many researchers for the improvement of an accurate and automatic system for the creation of different sound algorithms in extraction of complex audio signals. Techniques used in this kind of field such as Music Information Retrieval has become an active research topic which also has the need of advancement of the system.

Music has been around for so many decades and has a great impact in our society. For many years music has evolved in how it is played or constructed by different kinds of musical instruments which vary on what genre the music is. Technologies nowadays have allowed users to apply, manipulate or construct music. With these technologies processing of sound is made easy and can now let the users explore and analyze sound content of audio files. For this research the proponents decided to explore the audio signal processing field, if it is possible to automatically recognize what kind of music genre based on the content, particularly the audio features of a music file.

Info

Source Institution	Ateneo de Davao University
Unit	Computer Studies
Authors	Vincent Jake K. Calag, Kristofer Dann D. Caberto
Page Count	22
Place of Publication	Davao City
Original Publication Date	March 1, 2013
Tags	Audio Feature Extraction, Music Genre

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