Automatic Extraction of Tonal Metadata from Polyphonic Audio Recordings
The goal of this paper is to present a system that automatically extracts metadata from polyphonic audio signals. This metadata is related to the tonal content of music. It can be used to characterize the tonal space of a piece, understood as the relationships between pitches, chords and keys, in accordance with the principles and procedures of tonality. These features are relevant in the context of music similarity and content search, retrieval and navigation across digital music collections.
Click to purchase paper 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, $5 for AES members and is free for E-Library subscribers.