Although the performance of automatic tempo estimation methods has been improved during the recent research activities, some objectives to solve are still remaining. One of them is the analysis of slow music or songs without a strong drum pulse which corresponds to the correct tempo. One of the most frequent errors is the prediction of the doubled tempo, however further error sources exist. In our work we reimplemented, extended and optimized the original tempo recognition method from Eronen and Klapuri with the concrete goal to achieve reliable classification accuracy especially for slow songs. The results from the experiment study confirm the increased quality of the adapted algorithm chain. Several possible error sources are discussed in detail and further ideas beside the scope of this work are proposed for future research.
Authors:
Deinert, Thorsten; Vatolkin, Igor; Rudolph, Günter
Affiliation:
TU Dortmund, Department of Computer Science, Dortmund, Germany
AES Conference:
42nd International Conference: Semantic Audio (July 2011)
Paper Number:
P1-5
Publication Date:
July 22, 2011
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.