| 发明名称 |
SYSTEMS, METHODS, AND APPARATUS FOR EQUALIZATION PREFERENCE LEARNING |
| 摘要 |
Systems, methods, and apparatus for equalization preference learning are provided. An example method includes receiving a first label for a first audio concept for a media object and applying active learning to select a first example not yet rated by a first current user. The example method includes collecting a first user rating, by the first current user, of the first example compared to the first audio concept and applying transfer learning to combine the first user rating with ratings from prior users of examples not yet rated by the first current user to build a model of the first audio concept. The example method includes creating a tool operable by the first user to generate examples close to and far from the first label to modify the media object. |
| 申请公布号 |
US2014272883(A1) |
申请公布日期 |
2014.09.18 |
| 申请号 |
US201414207900 |
申请日期 |
2014.03.13 |
| 申请人 |
Northwestern University |
发明人 |
Pardo Bryan;Madjar Alexander M.;Little David Frank;Gergle Darren |
| 分类号 |
G09B5/04 |
主分类号 |
G09B5/04 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method comprising:
receiving a first label for a first audio concept for a media object; applying active learning to select a first example not yet rated by a first current user; collecting a first user rating, by the first current user, of the first example compared to the first audio concept; applying transfer learning to combine the first user rating with ratings from prior users of examples not yet rated by the first current user to build a model of the first audio concept; and creating a tool operable by the first user to generate examples close to and far from the first label to modify the media object. |
| 地址 |
Evanston IL US |
