首页> 外文会议>IEEE International Conference on Intelligent Engineering Systems >Evaluating text features for lyrics-based songwriter prediction
【24h】

Evaluating text features for lyrics-based songwriter prediction

机译:评估基于歌词的词曲作者预测的文本特征

获取原文

摘要

We offer an automated way of estimating the author of a song using only its lyrics content. To this end, we introduce a complete text classification framework which takes raw lyrics data as input and report estimated songwriter. The performance of the system is evaluated based on its classification and retrieval ability on a large dataset of Turkish songs, which was collected in this study. The results promote the use of such technique as a complementary tool in music information retrieval applications.
机译:我们提供仅使用其歌词内容估算歌曲作者的自动方法。为此,我们介绍了一个完整的文本分类框架,它将原始歌词数据作为输入和报告估计的SongWriter。根据其在本研究中收集的土耳其歌曲的大型数据集上的分类和检索能力来评估系统的性能。结果促进使用这种技术作为音乐信息检索应用中的互补工具。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号