公开(公告)号：US20130132084A1

公开(公告)日：2013-05-23

申请号：US13530101

申请日：2012-06-21

Applicant: Timothy Stonehocker ,  Keyvan Mohajer ,  Bernard Mont-Reynaud

Inventor： Timothy Stonehocker ,  Keyvan Mohajer ,  Bernard Mont-Reynaud

IPC: G10L15/06

CPC classification number: G10L15/30 ,  G10L15/04 ,  G10L15/063 ,  G10L15/08 ,  G10L15/265 ,  G10L15/34 ,  G10L17/06 ,  G10L2015/0635 ,  G10L2015/081

Abstract: A system and method for performing dual mode speech recognition, employing a local recognition module on a mobile device and a remote recognition engine on a server device. The system accepts a spoken query from a user, and both the local recognition module and the remote recognition engine perform speech recognition operations on the query, returning a transcription and confidence score, subject to a latency cutoff time. If both sources successfully transcribe the query, then the system accepts the result having the higher confidence score. If only one source succeeds, then that result is accepted. In either case, if the remote recognition engine does succeed in transcribing the query, then a client vocabulary is updated if the remote system result includes information not present in the client vocabulary.

Abstract translation: 一种用于执行双模式语音识别的系统和方法，在移动设备上使用本地识别模块和在服务器设备上使用远程识别引擎。 该系统接受来自用户的口语查询，并且本地识别模块和远程识别引擎都对查询执行语音识别操作，返回转录和置信度得分，并受到延迟截止时间的限制。 如果两个来源成功地转录查询，则系统接受具有较高置信度得分的结果。 如果只有一个源成功，则该结果被接受。 在任一情况下，如果远程识别引擎确实成功地转录查询，则如果远程系统结果包括客户端词汇中不存在的信息，则更新客户词汇。

公开(公告)号：US20120233207A1

公开(公告)日：2012-09-13

申请号：US13480400

申请日：2012-05-24

Applicant: Keyvan Mohajer

Inventor： Keyvan Mohajer

IPC: G06F17/30

CPC classification number: G06F17/30156 ,  G06F17/30663 ,  G06F17/30684 ,  G10L15/063 ,  G10L15/183 ,  G10L2015/0635

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：US20120232683A1

公开(公告)日：2012-09-13

申请号：US13480445

申请日：2012-05-24

Applicant: Aaron Steven Master ,  Timothy P. Stonehocker ,  Benjamin John Levitt ,  Jun Huang ,  Keyvan Mohajer

Inventor： Aaron Steven Master ,  Timothy P. Stonehocker ,  Benjamin John Levitt ,  Jun Huang ,  Keyvan Mohajer

IPC: G06F17/30 ,  G06F17/00

CPC classification number: G06F17/30743 ,  G06F17/30749 ,  G06F17/30758 ,  G10L25/51

Abstract: Systems and methods for recognizing sounds are provided herein. User input relating to a sound is received from a computing device. Instructions, which are stored in memory, are executed by a processor to discriminate the sound, analyze one or more databases using data included in the discriminated sound, the one or more databases being selected based upon the discrimination of the sound. Additionally, the processor may be executed to obtain information regarding the discriminated sound, from the one or more databases, based on the analysis, and in response to the search query, transmitting for display the information regarding the discriminated sound to the computing device.

Abstract translation: 本文提供用于识别声音的系统和方法。 从计算设备接收与声音相关的用户输入。 存储在存储器中的指令由处理器执行以区分声音，使用包括在识别声音中的数据分析一个或多个数据库，基于对声音的区分来选择一个或多个数据库。 此外，可以执行处理器以基于分析从一个或多个数据库获得关于辨别出的声音的信息，并且响应于搜索查询，向计算设备发送关于辨别出的声音的信息。

公开(公告)号：US08041734B2

公开(公告)日：2011-10-18

申请号：US12578531

申请日：2009-10-13

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：US20070156645A1

公开(公告)日：2007-07-05

申请号：US11558366

申请日：2006-11-09

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

Inventor： Keyvan Mohajer ,  Majid Emami ,  Michal Grabowski ,  James 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：US08972263B2

公开(公告)日：2015-03-03

申请号：US13530101

申请日：2012-06-21

Applicant: Timothy P. Stonehocker ,  Keyvan Mohajer ,  Bernard Mont-Reynaud

Inventor： Timothy P. Stonehocker ,  Keyvan Mohajer ,  Bernard Mont-Reynaud

IPC: G10L15/04 ,  G10L15/00 ,  G10L15/30 ,  G10L15/34

CPC classification number: G10L15/30 ,  G10L15/04 ,  G10L15/063 ,  G10L15/08 ,  G10L15/265 ,  G10L15/34 ,  G10L17/06 ,  G10L2015/0635 ,  G10L2015/081

Abstract: A system and method for performing dual mode speech recognition, employing a local recognition module on a mobile device and a remote recognition engine on a server device. The system accepts a spoken query from a user, and both the local recognition module and the remote recognition engine perform speech recognition operations on the query, returning a transcription and confidence score, subject to a latency cutoff time. If both sources successfully transcribe the query, then the system accepts the result having the higher confidence score. If only one source succeeds, then that result is accepted. In either case, if the remote recognition engine does succeed in transcribing the query, then a client vocabulary is updated if the remote system result includes information not present in the client vocabulary.

Abstract translation: 一种用于执行双模式语音识别的系统和方法，在移动设备上使用本地识别模块和在服务器设备上使用远程识别引擎。 该系统接受来自用户的口语查询，并且本地识别模块和远程识别引擎都对查询执行语音识别操作，返回转录和置信度得分，并受到延迟截止时间的限制。 如果两个来源成功地转录查询，则系统接受具有较高置信度得分的结果。 如果只有一个源成功，则该结果被接受。 在任一情况下，如果远程识别引擎确实成功地转录查询，则如果远程系统结果包括客户端词汇中不存在的信息，则更新客户词汇。

公开(公告)号：US08805686B2

公开(公告)日：2014-08-12

申请号：US12610920

申请日：2009-11-02

Applicant: Keyvan Mohajer ,  Seyed Majid Emami ,  Jon Grossman ,  Joe Kyaw Soe Aung ,  Sina Sohangir

Inventor： Keyvan Mohajer ,  Seyed Majid Emami ,  Jon Grossman ,  Joe Kyaw Soe Aung ,  Sina Sohangir

IPC: G10L15/04 ,  G10L15/00 ,  G10L15/05 ,  G10L15/14 ,  G10L15/32

CPC classification number: G10L15/142 ,  G10L15/05 ,  G10L15/32

Abstract: The technology disclosed relates to a system and method for fast, accurate and parallelizable speech search, called Crystal Decoder. It is particularly useful for search applications, as opposed to dictation. It can achieve both speed and accuracy, without sacrificing one for the other. It can search different variations of records in a reference database without a significant increase in elapsed processing time. This is accomplished by first accessing the database, and for each word representation in the database, searching an utterance for likely instances of the word representation utilizing multiple parallel processors. Even the main decoding part can be parallelized as the number of words increase to maintain a fast response time.

Abstract translation: 所公开的技术涉及一种称为晶体解码器的用于快速，准确和可并行化的语音搜索的系统和方法。 这对于搜索应用程序来说特别有用，而不是听写。 它可以实现速度和精度，而不会牺牲另一个。 它可以在参考数据库中搜索记录的不同变体，而不会显着增加经过的处理时间。 这是通过首先访问数据库，并且对于数据库中的每个单词表示，通过使用多个并行处理器来搜索单词表示的可能实例的话语来实现。 即使主解码部分可以并行化，因为字数增加以保持快速的响应时间。

公开(公告)号：US20130254029A1

公开(公告)日：2013-09-26

申请号：US13890194

申请日：2013-05-08

Applicant: Keyvan Mohajer

Inventor： Keyvan Mohajer

IPC: G06Q30/02

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

Abstract: Systems and methods for searching cloud-based databases 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 against these cloud-based databases. 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: 本文提供了用于搜索基于云的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。 搜索技术可能允许针对这些基于云的数据库进行搜索查询。 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：US20120233157A1

公开(公告)日：2012-09-13

申请号：US13481514

申请日：2012-05-25

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 cloud-based databases 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 against these cloud-based databases. 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: 本文提供了用于搜索基于云的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。 搜索技术可能允许针对这些基于云的数据库进行搜索查询。 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：US07788279B2

公开(公告)日：2010-08-31

申请号：US11558366

申请日：2006-11-09

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。