A methodology for the implementation of automated content-based searching (ACS) of digital music is presented. The proposed method maps a predefined parameter space to a psychoacoustic perceptual space defined by musical experts. This mapping enables content-based searching of music in a single-ended fashion. The results are based on a corpus of music in excess of 115 000 songs.
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 free for AES members and E-Library subscribers.