Jorge Calera-Rubio
Biographic Data
| ID | 2787960 |
|---|---|
| NAME | Jorge Calera-Rubio |
| GIVEN NAMES | Jorge |
| FAMILY NAME | Calera-Rubio |
| SIGNATURE | CALERA-RUBIO J |
| AFFILIATIONS | University of Alicante |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2011 |
| H-INDEX | 1 |
Melodic Identification Using Probabilistic Tree Automata
Similarity computation is a difficult issue in music information retrieval tasks, because it tries to emulate the special ability that humans show for pattern recognition in general, and particularly in the presence of noisy data. A number of works have addressed the problem of what is the best representation for symbolic music in this context. The tree representation, using rhythm for defining the tree structure and pitch information for leaf an…
Style recognition through statistical event models
The automatic classification of music fragments into style classes is one challenging problem within the music information retrieval (MIR) domain and also for the understanding of music style perception. This has a number of applications, including the indexation and exploration of musical databases. Some technologies employed in text classification can be applied to this problem. The key point here is to establish the music equivalent to the wor…
Melodic Identification Using Probabilistic Tree Automata
Similarity computation is a difficult issue in music information retrieval tasks, because it tries to emulate the special ability that humans show for pattern recognition in general, and particularly in the presence of noisy data. A number of works have addressed the problem of what is the best representation for symbolic music in this context. The tree representation, using rhythm for defining the tree structure and pitch information for leaf an…
Style recognition through statistical event models
The automatic classification of music fragments into style classes is one challenging problem within the music information retrieval (MIR) domain and also for the understanding of music style perception. This has a number of applications, including the indexation and exploration of musical databases. Some technologies employed in text classification can be applied to this problem. The key point here is to establish the music equivalent to the wor…
Melodic Identification Using Probabilistic Tree Automata
Similarity computation is a difficult issue in music information retrieval tasks, because it tries to emulate the special ability that humans show for pattern recognition in general, and particularly in the presence of noisy data. A number of works have addressed the problem of what is the best representation for symbolic music in this context. The tree representation, using rhythm for defining the tree structure and pitch information for leaf an…
Artificial Intelligence (2 works) · Computer Science (2 works) · Mathematics (2 works) · Music and Audio Processing (2 works) · Music Information Retrieval (2 works) · Algorithm (1 work) · Algorithms and Data Compression (1 work) · Binary tree (1 work) · Database (1 work) · Information retrieval (1 work)