Talking Drums：用神经网络生成鼓槽
Talking Drums: Generating drum grooves with neural networks
摘要：
提出了一种为所提供的踢鼓序列生成完整的鼓套件部件的方法。序列到序列的神经网络模型用于自然语言翻译采用编码多种音乐风格，并开发了一个在线调查，以测试不同的技术采样的softmax函数的输出。最强的结果被发现使用抽样技术，从三个最有可能的输出在每个细分的鼓模式，但输出的一致性被认为是严重依赖于风格。
英文摘要：
Presented is a method of generating a full drum kit part for a provided kick-drum sequence. A sequence to sequence neural network model used in natural language translation was adopted to encode multiple musical styles and an online survey was developed to test different techniques for sampling the output of the softmax function. The strongest results were found using a sampling technique that drew from the three most probable outputs at each subdivision of the drum pattern but the consistency of output was found to be heavily dependent on style.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
