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A Generative Model for Rhythms
| Content Provider | Semantic Scholar |
|---|---|
| Author | Paiement, Jean-François Bengio, Samy Grandvalet, Yves Eck, Doug |
| Copyright Year | 2007 |
| Abstract | Modeling music involves capturing long-term dependencies in time series, which has proved very difficult to achieve with traditional statistical methods. The same problem occurs when only considering rhythms. In this paper, we introduce a generative model for rhythms based on the distributions of distances between subsequences. A specific implementation of the model when considering Hamming distances over a simple rhythm representation is described. The proposed model consistently outperforms a standard Hidden Markov Model in terms of conditional prediction accuracy on two different music databases. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://publications.idiap.ch/downloads/papers/2007/paiement-mbc-2007.pdf |
| Alternate Webpage(s) | http://bengio.abracadoudou.com/publications/pdf/paiement_2007_nips.pdf |
| Alternate Webpage(s) | http://www.idiap.ch/ftp/reports/2007/paiement-idiap-rr-07-70.pdf |
| Alternate Webpage(s) | http://videolectures.net/site/normal_dl/tag=12875/mbc07_paiement_gmr_01.pdf |
| Alternate Webpage(s) | http://bengio.abracadoudou.com/cv/publications/pdf/paiement_2007_nips.pdf |
| Alternate Webpage(s) | http://www.idiap.ch/ftp/papers/2007/paiement-mbc-2007.pdf |
| Alternate Webpage(s) | http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/pubs/archive/34393.pdf |
| Alternate Webpage(s) | http://publications.idiap.ch/downloads/reports/2007/paiement-idiap-rr-07-70.pdf |
| Journal | NIPS 2007 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
