We proposed a model for the 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.
翻译:我们提出了CSMT2020数据对旋律分类的挑战模型。我们的模型使用“性能活动矢量”作为建立双向 RNN 分类网络的输入序列。模型在发展数据集和维基丰尼亚数据集上取得了令人满意的业绩。我们还讨论了几个超参数的影响,并为评价数据集创造了多个预测输出。