图 书 馆
节奏的生成模型A Generative Model for Rhythms |
|
| 课程网址: | http://videolectures.net/mbc07_paiement_gmr/ |
| 主讲教师: | Jean-François Paiement |
| 开课单位: | IDIAP研究所 |
| 开课时间: | 2008-02-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Modeling music involves capturing long-term dependencies in time series, which has proved very difficult to achieve with traditional statistical methods. The same problem occurs when only considering rhythms. In this paper, we introduce a generative model for rhythms based on the distributions of distances between subsequences. A specific implementation of the model when considering Hamming distances over a simple rhythm representation is described. The proposed model consistently outperforms a standard Hidden Markov Model in terms of conditional prediction accuracy on two different music databases. |
| 关 键 词: | 音乐建模; 生成模型; 标准隐马尔可夫模型 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-16：cjy |
| 阅读次数: | 75 |