公开(公告)号：US09355407B2

公开(公告)日：2016-05-31

申请号：US13481514

申请日：2012-05-25

Applicant: Keyvan Mohajer

Inventor： Keyvan Mohajer

IPC: G06F17/30 ,  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.

公开(公告)号：US09053183B2

公开(公告)日：2015-06-09

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：US09047371B2

公开(公告)日：2015-06-02

申请号：US13401728

申请日：2012-02-21

Applicant: Keyvan Mohajer ,  Bernard Mont-Reynaud ,  Joe Aung

Inventor： Keyvan Mohajer ,  Bernard Mont-Reynaud ,  Joe Aung

IPC: G06F17/00 ,  H04H60/32 ,  H04R29/00 ,  G06F7/00 ,  G06F17/30 ,  H04H60/37 ,  H04H60/58 ,  G10L19/018

CPC classification number: G06F17/30752 ,  G06F17/30743 ,  G06F17/30772 ,  G10L19/018 ,  H04H20/14 ,  H04H60/13 ,  H04H60/27 ,  H04H60/35 ,  H04H60/372 ,  H04H60/43 ,  H04H60/44 ,  H04H60/58

Abstract: A method for identifying with a broadcast stream. That method includes receiving one or more broadcast streams, from which it generates and stores an audio fingerprint of a selected portion of each received broadcast stream. A query is received, and the method generates an audio fingerprint of the query. From that point, the method continues by identifying audio content from the query, using the query audio fingerprint and a database of indexed audio content. The method concludes by identifying the source of the query using the query audio fingerprint and the stored audio fingerprints. Embodiments of the method further include predictively caching audio fingerprint sequences and corresponding audio item identifiers from a server after storing audio fingerprints extracted from the broadcast stream; and using the predictively cached audio fingerprint sequences to identify an audio item within the audio signal based on at least some additional audio fingerprints of the audio signal.

Abstract translation: 一种用广播流进行识别的方法。 该方法包括接收一个或多个广播流，从而生成并存储每个接收的广播流的所选部分的音频指纹。 接收到查询，该方法生成查询的音频指纹。 从那时起，该方法通过使用查询音频指纹和索引的音频内容的数据库识别来自查询的音频内容来继续。 该方法通过使用查询音频指纹和存储的音频指纹识别查询的来源得出结论。 该方法的实施例还包括在存储从广播流中提取的音频指纹之后，从服务器预测性地缓存音频指纹序列和对应的音频项目标识符; 以及使用所述预测缓存的音频指纹序列基于所述音频信号的至少一些附加音频指纹来识别所述音频信号内的音频项目。

公开(公告)号：US20140019483A1

公开(公告)日：2014-01-16

申请号：US14028166

申请日：2013-09-16

Applicant: Keyvan Mohajer

Inventor： Keyvan Mohajer

IPC: G06F17/30

CPC classification number: G06F16/1748 ,  G06F16/3334 ,  G06F16/3344 ,  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：US20130254422A2

公开(公告)日：2013-09-26

申请号：US12773753

申请日：2010-05-04

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 ,  G06F15/16 ,  H04B15/00

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 one or more sounds is received from a computing device. Instructions, which are stored in memory, are executed by a processor to discriminate the one or more sounds, extract music features from the one or more sounds, analyze the music features using one or more databases, and obtain information regarding the music features based on the analysis. Further, information regarding the music features of the one or more sounds may be transmitted to display on the computing device.

Abstract translation: 本文提供用于识别声音的系统和方法。 从计算设备接收与一个或多个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一个或多个声音，从一个或多个声音中提取音乐特征，使用一个或多个数据库分析音乐特征，并且基于以下方式获得关于音乐特征的信息： 分析。 此外，可以发送关于一个或多个声音的音乐特征的信息以在计算设备上显示。

公开(公告)号：US20100121643A1

公开(公告)日：2010-05-13

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 ,  G10L15/18 ,  G10L15/14

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 the reference database without a significant increase in elapsed processing time. 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。 它可以搜索参考数据库中不同的记录变体，而不会显着增加经过的处理时间。 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：US07698254B2

公开(公告)日：2010-04-13

申请号：US11778752

申请日：2007-07-17

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

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

IPC: G06F17/30 ,  G06F17/00

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。

公开(公告)号：US20100030775A1

公开(公告)日：2010-02-04

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 ,  G06F17/00 ,  G10L15/06

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：US20080167862A1

公开(公告)日：2008-07-10

申请号：US11971070

申请日：2008-01-08

Applicant: Keyvan Mohajer

Inventor： Keyvan Mohajer

IPC: G10L11/04

CPC classification number: G10L25/90 ,  G10L15/063

Abstract: A method for employing pitch in a speech recognition engine. The process begins by building training models of selected speech samples, a process which begins by analyzing each sample as a sequential series of frames, each frame having a selected duration and overlap with adjacent frames. A pitch estimate of each frame is detected and recorded, and the pitch data is normalized, and the speech recognition parameters of the model are determined, after which the model is stored. Models are stored and updated for each of the set of training samples. The system is then employed to recognizing the speech content of a subject, which begins by analyzing the subject as a sequential series of frames, each frame having a selected duration and overlap with adjacent frames. A pitch estimate for each frame is detected and recorded, and the pitch data is normalized. Speech recognition techniques are then employed to recognize the content of the subject, employing the stored models.

Abstract translation: 一种在语音识别引擎中采用音调的方法。 该过程开始于构建所选语音样本的训练模型，该过程通过将每个样本分析为连续的一系列帧开始，每个帧具有选定的持续时间并与相邻帧重叠。 检测并记录每帧的音调估计，并且对音调数据进行归一化，并且确定模型的语音识别参数，然后存储模型。 为每组训练样本中的每一组存储和更新模型。 然后，该系统用于识别被摄体的语音内容，其通过将对象分析为连续的一系列帧开始，每帧具有选定的持续时间并与相邻帧重叠。 检测并记录每帧的音调估计，并且对音调数据进行归一化。 然后使用语音识别技术来识别被摄体的内容，采用所存储的模型。

公开(公告)号：US09280598B2

公开(公告)日：2016-03-08

申请号：US12773753

申请日：2010-05-04

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: G06F17/00 ,  G06F17/30

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 one or more sounds is received from a computing device. Instructions, which are stored in memory, are executed by a processor to discriminate the one or more sounds, extract music features from the one or more sounds, analyze the music features using one or more databases, and obtain information regarding the music features based on the analysis. Further, information regarding the music features of the one or more sounds may be transmitted to display on the computing device.

Abstract translation: 本文提供用于识别声音的系统和方法。 从计算设备接收与一个或多个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一个或多个声音，从一个或多个声音中提取音乐特征，使用一个或多个数据库分析音乐特征，并且基于以下方式获得关于音乐特征的信息： 分析。 此外，可以发送关于一个或多个声音的音乐特征的信息以在计算设备上显示。