An Implementation of a Simple Playlist Generator Based on Audio Similarity Measures and User Feedback

This paper presents an implementation of a simple playlist generator. An audio-based music similarity measure and simple heuristics are used to create playlists given minimum user input. The ultimate goal or this work is to conduct a field study, i.e., to run the system on the users’ personal collection and study the usage behavior over a period of time. The functions include, for example, allowing the user to control the variance of the playlists in terms of how often the same song or songs from the same artists are repeated.