Loading...
Please wait, while we are loading the content...
Similar Documents
Polyphonic music modeling with random fields (2003).
| Content Provider | CiteSeerX |
|---|---|
| Author | Lavrenko, Victor Pickens, Jeremy |
| Description | MM'03 |
| Abstract | Recent interest in the area of music information retrieval and related technologies is exploding. However, very few of the existing techniques take advantage of recent developments in statistical modeling. In this paper we discuss an application of Random Fields to the problem of creating accurate yet flexible statistical models of polyphonic music. With such models in hand, the challenges of developing e#ective searching, browsing and organization techniques for the growing bodies of music collections may be successfully met. We o#er an evaluation of these models in terms of perplexity and prediction accuracy, and show that random fields not only outperform Markov chains, but are much more robust in terms of overfitting. |
| File Format | |
| Publisher Date | 2003-01-01 |
| Access Restriction | Open |
| Subject Keyword | Random Field Polyphonic Music Modeling Music Information Retrieval Prediction Accuracy Recent Interest Music Collection Polyphonic Music Ective Searching Related Technology Statistical Modeling Flexible Statistical Model Markov Chain Recent Development Organization Technique |
| Content Type | Text |
| Resource Type | Article |
