Melody Classification based on Performance Event Vector and BRNN
Sound
2020-10-19 v2 Information Retrieval
Audio and Speech Processing
Abstract
We proposed a model for the Conference of Music and Technology (CSMT2020) data challenge of melody classification. Our model used the Performance Event Vector as the input sequence to build a Bidirectional RNN network for classfication. The model achieved a satisfying performance on the development dataset and Wikifonia dataset. We also discussed the effect of several hyper-parameters, and created multiple prediction outputs for the evaluation dataset.
Keywords
Cite
@article{arxiv.2010.07562,
title = {Melody Classification based on Performance Event Vector and BRNN},
author = {Jinyue Guo and Aozhi Liu and Jing Xiao},
journal= {arXiv preprint arXiv:2010.07562},
year = {2020}
}