标题： BERT音乐表示的系统分析 显示英文标题

标题： Systematic Analysis of Music Representations from BERT

摘要： 在将原始数据表示为能够有效捕捉语义和上下文信息的数值向量方面，已经进行了许多尝试。 然而，在符号音乐领域，之前的研究通过观察各种微调任务的性能提升来验证其音乐嵌入。 在本工作中，我们直接分析了从BERT以及在小节级MIDI上进行对比学习训练的BERT得到的嵌入，检查可以从MIDI事件中获得的音乐信息。 我们观察到，嵌入的信息特征会根据对比目标和层的选择而有所不同。 我们的代码可在 https://github.com/sjhan91/MusicBERT 获取。 显示英文摘要

摘要： There have been numerous attempts to represent raw data as numerical vectors that effectively capture semantic and contextual information. However, in the field of symbolic music, previous works have attempted to validate their music embeddings by observing the performance improvement of various fine-tuning tasks. In this work, we directly analyze embeddings from BERT and BERT with contrastive learning trained on bar-level MIDI, inspecting their musical information that can be obtained from MIDI events. We observe that the embeddings exhibit distinct characteristics of information depending on the contrastive objectives and the choice of layers. Our code is available at https://github.com/sjhan91/MusicBERT.