图 书 馆
复调音乐分类的旋律模型Melodic Models for Polyphonic Music Classification |
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| 课程网址: | http://videolectures.net/ecmlpkdd09_hillewaere_mmpmc/ |
| 主讲教师: | Ruben Hillewaere |
| 开课单位: | 布鲁塞尔大学 |
| 开课时间: | 2009-10-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The classification of polyphonic music still presents challenges for current music data mining methods. In this paper we explore the performance of classifiers specifically created for melody on the polyphonic classification task. On a small dataset of string quartet movements of Haydn and Mozart, the melodic n-gram model outperforms the melodic global feature model for composer recognition. Furthermore, a simple model that combines the predictions made from different instrumental parts outperforms models created from any single voice. The results indicate that models taking into account polyphonic information achieve higher classification accuracy. |
| 关 键 词: | 复调音乐; 分类器; 小数据集中 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-24：cwx |
| 阅读次数: | 100 |