| Título |
Dynamic Neural Networks Applied to Melody Retrieval |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science; 9th Mexican International Conference on Artificial Intelligence |
| Resumen |
A new method for the retrieval of melodies from a database is described in this paper. For its functioning, the method makes use of Dynamic Neural Networks (DNN). During training a set ofDNN is first trained with information of the melodies to be retrieved. Instead of using traditional signal descriptors we use the matrix of synaptic weights that can be efficiently used for melody representation and retrieval. Most of the reported works have been focused on the symbolic representation of musical information. None of them have provided good results with original signals. |
| Observaciones |
Advances in Soft Computing, MICAI 2010; (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Code 82886 |
| Lugar |
Pachuca |
| País |
Mexico |
| No. de páginas |
269-279 |
| Vol. / Cap. |
6438 |
| Inicio |
2010-11-08 |
| Fin |
2010-11-13 |
| ISBN/ISSN |
978-3-642-16772-0 |
