音乐问答:认知和感知音乐

Wenhao Gao, Xiaobing Li, Cong Jin, Tie Yun
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引用次数: 2

摘要

音乐的分析和理解一直是专业人士的工作。为了帮助普通人认识和感知音乐,我们提出了音乐问答任务。这个任务的目标是给出音乐和相关问题的准确答案。为此,我们基于MagnaTagATune制作MQAdataset,它包含七个基本类别。根据问题的主要来源,所有问题分为基本问题和深度问题。我们对几种模型进行了测试,并对实验结果进行了分析。最佳模型Musicnn-MALiMo (Spectrogram,i=4)的准确率为71.13%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Music Question Answering:Cognize and Perceive Music
Music analysis and understanding has always been the work of professionals. In order to help ordinary people congnize and perceive music, we put forward the Music Question Answering task in this paper. The goal of this task is to provide accurate answers given music and related questions. To this end, we made MQAdataset based on MagnaTagATune, which contains seven basic categories. According to the main source of the questions, all questions are divided into basic questions and depth questions. We tested on several models and analyzed the experimental results. The best model, Musicnn-MALiMo (Spectrogram,i=4), obtained 71.13% accuracy.
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