Name
Title | ||
|---|---|---|
Modeling Musicological Information As Trigrams In A System For Simultaneous Chord And Local Key Extraction |
Abstract | ||
|---|---|---|
In this paper, we discuss the introduction of a trigram musicological model in a simultaneous chord and local key extraction system. By enlarging the context of the musicological model, we hoped to achieve a higher accuracy that could justify the associated higher complexity and computational load of the search for the optimal solution. Experiments on multiple data sets have demonstrated that the trigram model has indeed a larger predictive power (a lower perplexity). This raised predictive power resulted in an improvement in the key extraction capabilities, but no improvement in chord extraction when compared to a system with a bigram musicological model. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/MLSP.2011.6064602 | 2011 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP) |
Keywords | Field | DocType |
Chord extraction, key extraction, music signal processing, music information retrieval | Perplexity,Multiple data,Music information retrieval,Pattern recognition,Predictive power,Trigram,Computer science,Speech recognition,Bigram,Artificial intelligence,Chord (music),Audio signal processing | Conference |
ISSN | Citations | PageRank |
2161-0363 | 0 | 0.34 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johan Pauwels | 1 | 30 | 5.73 |
| Martens, J.P. | 2 | 78 | 8.20 |
| Marc Leman | 3 | 67 | 11.96 |