Identifying versions of the same song by means of automatically extracted audio features is a complex task to achieve using computers, even though it may seem very simple for a human listener. The design of a system to perform this job gives the opportunity to analyze which features are relevant for music similarity. This paper focuses on the analysis of tonal and structural similarity and its application to the identification of different versions of the same piece. This work describes the situations where a song is versioned and several musical aspects are transformed with respect to the canonical version. A quantitative evaluation is made using tonal descriptors, including chroma representations and tonality, combined with the automatic extraction of summary of pieces through music structural analysis.
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can
subscribe to this RSS feed.
Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.
