Musical features extraction for audio-based search

Mixing unrelated musical sessions is a new form of music creation, driven by the increasing popularity of media-sharing web sites such as YouTube and MySpace. The basic questions addressed in the present paper are which musical features are required for matching two musical pieces, how to decide if two musical pieces are compatible and how to measure the degree of compatibility. We present a system designed for content-based audio search that extracts musical features and finds audio tracks which are compatible to a given musical query in a music database.