公开(公告)号：US20120036156A1

公开(公告)日：2012-02-09

申请号：US13275193

申请日：2011-10-17

Applicant: Keyvan Mohajer ,  Majid Emami ,  Michal Grabowski ,  James M. Hom

Inventor： Keyvan Mohajer ,  Majid Emami ,  Michal Grabowski ,  James M. Hom

IPC: G06F17/30

CPC classification number: G06F17/30758 ,  G06F17/30743 ,  G06F17/30749 ,  Y10S707/913 ,  Y10S707/916 ,  Y10S707/99931 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99943 ,  Y10S707/99948

Abstract: A method for non-text-based identification of a selected item of stored music. The first broad portion of the method focuses on building a music identification database. That process requires capturing a tag of the selected musical item, and processing the tag to develop reference key to the same. Then the tag is stored, together with the reference key and an association to the stored music. The database is built by collecting a multiplicity of tags. The second broad portion of the method is retrieving a desired item of stored music from the database. That process calls for capturing a query tag from a user, and processing the query tag to develop a query key to the same. The query tag is compared to reference keys stored in the database to identify the desired item of stored music.

Abstract translation: 一种用于存储音乐的所选项目的非基于文本的识别的方法。 该方法的第一大部分重点是建立一个音乐识别数据库。 该过程需要捕获所选择的音乐作品的标签，并处理标签以将参考键打开。 然后，标签与参考键一起存储，并与存储的音乐相关联。 数据库是通过收集多个标签来构建的。 方法的第二大部分是从数据库中检索所需的存储音乐项目。 该过程需要从用户捕获查询标签，并处理查询标签以将查询密钥设置为相同。 将查询标签与存储在数据库中的参考键进行比较，以识别所需的存储音乐项。

公开(公告)号：US20120030199A1

公开(公告)日：2012-02-02

申请号：US12861775

申请日：2010-08-23

Applicant: Keyvan Mohajer

Inventor： Keyvan Mohajer

IPC: G06F17/30

CPC classification number: G06Q30/0256 ,  G06F17/30663 ,  G06F17/30864 ,  G06F17/30899

Abstract: Systems and methods for searching databases by sound data input are provided herein. A service provider may have a need to make their database(s) searchable through search technology. However, the service provider may not have the resources to implement such search technology. The search technology may allow for search queries using sound data input. The technology described herein provides a solution addressing the service provider's need, by giving a search technology that furnishes search results in a fast, accurate manner. In further embodiments, systems and methods to monetize those search results are also described herein.

Abstract translation: 本文提供了通过声音数据输入来搜索数据库的系统和方法。 服务提供商可能需要通过搜索技术使其数据库可搜索。 然而，服务提供商可能没有资源来实现这种搜索技术。 搜索技术可以允许使用声音数据输入的搜索查询。 本文描述的技术通过提供以快速，准确的方式提供搜索结果的搜索技术来提供解决服务提供商的需求的解决方案。 在另外的实施例中，这里还描述了通过这些搜索结果来获利的系统和方法。

公开(公告)号：US20080082530A1

公开(公告)日：2008-04-03

申请号：US11778752

申请日：2007-07-17

Applicant: Michal Grabowski ,  Majid Emami ,  James Hom ,  Keyvan Mohajer

Inventor： Michal Grabowski ,  Majid Emami ,  James Hom ,  Keyvan Mohajer

IPC: G06F17/30

CPC classification number: G06F17/30693 ,  G06F17/30646 ,  G06F17/30681 ,  Y10S707/99932

Abstract: A method for searching a database to produce search results from queries likely to contain errors. The process begins by identifying database features likely to be useful in searching, and those features are employed to index the database. After receiving a query from a user, the system develops a rough score for the query, by extracting features from the query, assigning match scores to query features matching database features; and assigning approximation scores to query features amenable to approximation analysis with database features. The rough score is used to identify identifying a set of database records for further analysis. Those records are then subjected to a more detailed rescoring process, based on correspondence between individual query elements and individual record elements, and between the query and the database record content, taken as a whole. Based on the rescoring process, output is provided to the user.

Abstract translation: 一种用于搜索数据库以从可能包含错误的查询中产生搜索结果的方法。 该过程开始于识别可能在搜索中有用的数据库特征，并且使用这些特征来索引数据库。 在从用户接收到查询后，系统通过从查询中提取特征，将匹配分数分配给查询匹配数据库特征的特征，为查询开发粗略的分数; 并将近似分数分配给具有数据库特征的近似分析的查询特征。 粗略分数用于识别识别一组数据库记录以供进一步分析。 然后，根据个别查询元素和各个记录元素之间的对应关系，以及作为整体的查询和数据库记录内容之间，对这些记录进行更详细的记录过程。 基于挽救过程，向用户提供输出。