Memorization of melodies by complex-valued recurrent network

Makoto Kinouchi, Masafumi Hagiwara

Research output: Contribution to conferencePaper

6 Citations (Scopus)

Abstract

Memorization of the temporal sequences is very important and interesting problem. One of the examples is memorization of melodies. When we memorize melodies, we can recall it from a part. The function can be considered as an associative memory of the temporal sequences. From a technical point of view, it can be considered that the rest of the melody can be determined by some leading some notes. In this paper, we apply the complex-valued recurrent network, which has much superior ability to deal with temporal sequences than the conventional real-valued networks, to memorization of melodies. It is shown in computer simulations that the network can memorize some melodies and recall them correctly from any part.

Original languageEnglish
Pages1324-1328
Number of pages5
Publication statusPublished - 1996 Jan 1
EventProceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) - Washington, DC, USA
Duration: 1996 Jun 31996 Jun 6

Other

OtherProceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4)
CityWashington, DC, USA
Period96/6/396/6/6

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ASJC Scopus subject areas

  • Software

Cite this

Kinouchi, M., & Hagiwara, M. (1996). Memorization of melodies by complex-valued recurrent network. 1324-1328. Paper presented at Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4), Washington, DC, USA, .