Music Genre Estimation from Low Level Audio Features
Despite the subjective nature of associating a certain song or artist with a specific musical genre, this type of characterization is frequently used to provide a convenient way of expressing very coarse information on the basic stylistic and rhythmic elements and/or instrumentation of a song. An audio database which is structured according to different musical genres is the first important step to provide an easy/intuitive access to a large music collection. Thus, a convenient way for indexing large databases by musical genre is desired. This paper describes a system which automatically classifies music into several musical genres. Different features as well as classification strategies will be evaluated and compared. The system's performance is assessed by means of a subjective listening test.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is temporarily free for AES members.