Playlist generation using start and end songs

Abstract

A new algorithm for automatic generation of playlists with an inherent sequential order is presented. Based on a start and end song it creates a smooth transition allowing users to discover new songs in a music collection. The approach is based on audio similarity and does not require any kind of meta data. It is evaluated using both objective genre labels and subjective listening tests. Our approach allows users of the website of a public radio station to create their own digital "mixtapes" online.