Particle Filtering Applied to Musical Tempo Tracking
<p/> <p>This paper explores the use of particle filters for beat tracking in musical audio examples. The aim is to estimate the time-varying tempo process and to find the time locations of beats, as defined by human perception. Two alternative algorithms are presented, one which performs...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2004-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1155/S1110865704408099 |
| _version_ | 1818963582713331712 |
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| author | Macleod Malcolm D Hainsworth Stephen W |
| author_facet | Macleod Malcolm D Hainsworth Stephen W |
| author_sort | Macleod Malcolm D |
| collection | DOAJ |
| description | <p/> <p>This paper explores the use of particle filters for beat tracking in musical audio examples. The aim is to estimate the time-varying tempo process and to find the time locations of beats, as defined by human perception. Two alternative algorithms are presented, one which performs Rao-Blackwellisation to produce an almost deterministic formulation while the second is a formulation which models tempo as a Brownian motion process. The algorithms have been tested on a large and varied database of examples and results are comparable with the current state of the art. The deterministic algorithm gives the better performance of the two algorithms.</p> |
| first_indexed | 2024-12-20T12:47:31Z |
| format | Article |
| id | doaj.art-52a599ea35f74d8ba7683a2dca44f707 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-20T12:47:31Z |
| publishDate | 2004-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-52a599ea35f74d8ba7683a2dca44f7072022-12-21T19:40:16ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802004-01-01200415927847Particle Filtering Applied to Musical Tempo TrackingMacleod Malcolm DHainsworth Stephen W<p/> <p>This paper explores the use of particle filters for beat tracking in musical audio examples. The aim is to estimate the time-varying tempo process and to find the time locations of beats, as defined by human perception. Two alternative algorithms are presented, one which performs Rao-Blackwellisation to produce an almost deterministic formulation while the second is a formulation which models tempo as a Brownian motion process. The algorithms have been tested on a large and varied database of examples and results are comparable with the current state of the art. The deterministic algorithm gives the better performance of the two algorithms.</p>http://dx.doi.org/10.1155/S1110865704408099beattrackingparticle filtersmusic |
| spellingShingle | Macleod Malcolm D Hainsworth Stephen W Particle Filtering Applied to Musical Tempo Tracking EURASIP Journal on Advances in Signal Processing beat tracking particle filters music |
| title | Particle Filtering Applied to Musical Tempo Tracking |
| title_full | Particle Filtering Applied to Musical Tempo Tracking |
| title_fullStr | Particle Filtering Applied to Musical Tempo Tracking |
| title_full_unstemmed | Particle Filtering Applied to Musical Tempo Tracking |
| title_short | Particle Filtering Applied to Musical Tempo Tracking |
| title_sort | particle filtering applied to musical tempo tracking |
| topic | beat tracking particle filters music |
| url | http://dx.doi.org/10.1155/S1110865704408099 |
| work_keys_str_mv | AT macleodmalcolmd particlefilteringappliedtomusicaltempotracking AT hainsworthstephenw particlefilteringappliedtomusicaltempotracking |