Title :
Melody retrieval by self-organizing map with refractoriness
Author :
Hirata, Takanori ; Tokuda, Takuya ; Osana, Yuko
Author_Institution :
Tokyo Univ. of Technol., Tokyo
Abstract :
In this research, we propose a similarity-based melody retrieval by self-organizing map with refractoriness. In the self-organizing map with refractoriness, the plural neurons in the map layer corresponding to the input can fire sequentially because of the refractoriness. The proposed melody retrieval system using the self-organizing map with refractoriness makes use of this property in order to retrieve plural similar melodies. In this melody retrieval system, as the melody features, tone, rhythm and keyword (genre of music) are employed. We carried out a series of computer experiments and confirmed that the effectiveness of the proposed system.
Keywords :
information retrieval; music; self-organising feature maps; map layer; melody features; self-organizing map; similarity-based melody retrieval; Artificial neural networks; Associative memory; Biological neural networks; Brain modeling; Fires; Image retrieval; Information processing; Music information retrieval; Neurons; Rhythm;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4633892