Name
Abstract | ||
|---|---|---|
PRISM is a probabilistic-logical programming language based on Prolog. We present a PRISM-implementation of a general model for polyphonic music, based on Hidden Markov Models. Its probability parameters are automatically learned by running the built-in EM-algorithm of PRISM on training examples. We show how the model can be used as a classifier for music that guesses the composer of unknown fragments of music. Then we use it to automatically compose new music. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11603023_5 | PADL |
Keywords | Field | DocType |
training example,built-in em-algorithm,hidden markov models,general model,probability parameter,compose new music,polyphonic music,unknown fragment,probabilistic-logical programming language,probabilistic-logical modeling,programming language,hidden markov model,probabilistic logic,em algorithm | Computer science,Prolog,Natural language processing,Artificial intelligence,Probabilistic logic,Polyphony,Logical modeling,Pop music automation,Classifier (linguistics),Hidden Markov model | Conference |
Volume | ISSN | ISBN |
3819 | 0302-9743 | 3-540-30947-0 |
Citations | PageRank | References |
6 | 0.51 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| jon sneyers | 1 | 117 | 9.47 |
| Joost Vennekens | 2 | 434 | 37.36 |
| Danny de Schreye | 3 | 1352 | 75.10 |