Name
Abstract | ||
|---|---|---|
A recent trend in the field of beat tracking for musical audio signals has been to explore techniques for measuring the level of agreement and disagreement between a committee of beat tracking algorithms. By using beat tracking evaluation methods to compare all pairwise combinations of beat tracker outputs, it has been shown that selecting the beat tracker which most agrees with the remainder of the committee, on a song-by-song basis, leads to improved performance which surpasses the accuracy of any individual beat tracker used on its own. In this paper we extend this idea towards presenting a single, standalone beat tracking solution which can exploit the benefit ofmutual agreement without the need to run multiple separate beat tracking algorithms. In contrast to existing work, we re-cast the problem as one of selecting between the beat outputs resulting from a single beat tracking model with multiple, diverse input features. Through extended evaluation on a large annotated database, we show that our multi-feature beat tracker can outperform the state of the art, and thereby demonstrate that there is sufficient diversity in input features for beat tracking, without the need for multiple tracking models. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TASLP.2014.2305252 | IEEE/ACM Transactions on Audio, Speech & Language Processing |
Keywords | Field | DocType |
feature evaluation and selection,algorithms,design,experimentation,music signal processing,music information retrieval,sound and music computing,measurement,evaluation,performance,beat tracking,speech processing,accuracy,speech,feature extraction,fourier transforms,estimation,music,audio signal processing | Audio signal,Pairwise comparison,Music information retrieval,Pattern recognition,Computer science,Speech recognition,Beat tracking,Beat (music),Artificial intelligence,Beat detection,Audio signal processing | Journal |
Volume | Issue | ISSN |
22 | 4 | 2329-9290 |
Citations | PageRank | References |
4 | 0.51 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José R. Zapata | 1 | 112 | 7.57 |
| Matthew E. P. Davies | 2 | 160 | 16.24 |
| Emilia Gómez | 3 | 189 | 25.90 |