Datasets

Here are the published datasets of my research.

1. Automatically generate hymns using variational attention models (ISNN 2019, Moscow)

Abstract:

Building an intelligent system for automatically composing music like human beings has been actively investigated during the last decade. In this work, we propose a new approach for automatically creating hymns by training a variational attention model from a large collection of religious songs. We compare our method with two other techniques by using Seq2Seq and attention models and measuring the corresponding performance by BLEU-N scores, the entropy, and the edit distance. Experimental results show that the proposed method can achieve a promising performance that is able to give an additional contribution to the current study of music formulation. Finally, we publish our dataset on- line for further research related to the problem.

Dataset:

• Files
• Readme.txt