Name
Title | ||
|---|---|---|
Music tempo estimation and beat tracking by applying source separation and metrical relations |
Abstract | ||
|---|---|---|
In this paper, we present tempo estimation and beat tracking algorithms by utilizing percussive/harmonic separation of the audio signal, in order to extract filterbank energies and chroma features from the respective components. Periodicity analysis is carried out by the convolution of feature sequences with a bank of resonators. Target tempo is estimated from the resulting periodicity vector by incorporating metrical relations knowledge. Tempo estimation is followed by a local tempo refinement method to enhance the beat-tracking algorithm. Beat tracking involves the computation of the beat saliencies derived from the resonators responses and proposes a distance measure between candidate beats locations. A dynamic programming algorithm is adopted to find the optimal “path” of beats. Both tempo estimation and beat tracking methods were submitted on MIREX 2011, while the tempo estimation algorithm was also evaluated on ISMIR 2004 Tempo Induction Evaluation Exchange Dataset. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICASSP.2012.6287906 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
audio signal processing,convolution,dynamic programming,feature extraction,filtering theory,source separation,tracking,ISMIR 2004 Tempo Induction Evaluation Exchange Dataset,MIREX 2011,audio signal,beat tracking,chroma feature extraction,dynamic programming algorithm,feature sequence convolution,filterbank energy extraction,harmonic separation,local tempo refinement method,metrical relations knowledge,music tempo estimation,percussive separation,periodicity analysis,periodicity vector,resonators response,source separation,target tempo estimation,tempo estimation algorithm,beat tracking,chroma features,periodicity analysis,tempo estimation | Dynamic programming,Audio signal,Pattern recognition,Convolution,Computer science,Filter bank,Feature extraction,Beat (music),Artificial intelligence,Audio signal processing,Source separation | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4673-0044-5 | 978-1-4673-0044-5 | 22 |
PageRank | References | Authors |
0.95 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aggelos Gkiokas | 1 | 35 | 4.64 |
| Vassilios Katsouros | 2 | 73 | 10.63 |
| George Carayannis | 3 | 215 | 38.14 |
| Themos Stafylakis | 4 | 431 | 30.12 |