公开(公告)号：US20120084081A1

公开(公告)日：2012-04-05

申请号：US12895337

申请日：2010-09-30

Applicant: ILYA Dan MELAMED ,  Mazin Gilbert

Inventor： ILYA Dan MELAMED ,  Mazin Gilbert

IPC: G10L21/00

CPC classification number: G06N7/005 ,  G06F17/30684 ,  G06Q30/01

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for performing trend analysis of speech. A system practicing the method receives a speech trend analysis request having candidate feature constraints, an objective function with respect to a speech trend to be analyzed, and a set of speech record constraints. The system selects a subset of speech records from the group of speech records based on the set of speech record constraints to yield selected speech records, identifies features in the selected speech records based on the set of candidate feature constraints to yield identified features, and assigns a weight to each of the identified features based on the objective function. Then the system ranks the identified features by their respective weights to yield ranked identified features, and outputs at least one of the ranked identified features associated with a speech-based trend in response to the speech trend analysis request.

Abstract translation: 这里公开了用于执行语音趋势分析的系统，方法和非暂时的计算机可读存储介质。 实施该方法的系统接收具有候选特征约束的语音趋势分析请求，关于待分析的语音趋势的目标函数和一组语音记录约束。 该系统基于语音记录约束集从语音记录组中选择语音记录的子集，以产生所选择的语音记录，基于候选特征约束集来识别所选语音记录中的特征，以产生所识别的特征，并且分配 基于目标函数对每个识别的特征的权重。 然后，系统通过它们各自的权重对所识别的特征进行排序，以产生排名确定的特征，并响应于语音趋势分析请求输出与基于语音的趋势相关联的排名确定的特征中的至少一个。

公开(公告)号：US20110145002A1

公开(公告)日：2011-06-16

申请号：US12884436

申请日：2010-09-17

Applicant: Ilya Dan MELAMED ,  Yeon-Jun KIM

Inventor： Ilya Dan MELAMED ,  Yeon-Jun KIM

IPC: G10L21/02

CPC classification number: G10L25/48 ,  G10L15/26

Abstract: A method, apparatus, and computer-readable medium for editing a data stream based on a corpus are provided. The data stream includes stream words. A sequence includes a predetermined number of sequential words of the stream words. The method, apparatus, and computer-readable medium determine whether the sequence exists in the corpus at least at a predetermined minimum frequency. When the sequence exists in the corpus at least at the predetermined minimum frequency, the sequence is edited in the data stream.

Abstract translation: 提供了一种用于基于语料库编辑数据流的方法，装置和计算机可读介质。 数据流包括流字。 序列包括预定数量的流字的顺序字。 方法，装置和计算机可读介质至少以预定的最小频率确定序列是否存在于语料库中。 当序列至少以预定的最小频率存在于语料库中时，序列在数据流中被编辑。

公开(公告)号：US09536517B2

公开(公告)日：2017-01-03

申请号：US13300087

申请日：2011-11-18

Applicant: Jason Williams ,  Tirso Alonso ,  Barbara B. Hollister ,  Ilya Dan Melamed

Inventor： Jason Williams ,  Tirso Alonso ,  Barbara B. Hollister ,  Ilya Dan Melamed

IPC: G10L15/06 ,  G10L15/26

CPC classification number: G10L15/01 ,  G06F17/30743 ,  G06N99/005 ,  G10L15/063 ,  G10L15/26 ,  G10L15/265 ,  G10L2015/0638

Abstract: Systems, methods, and computer-readable storage devices for crowd-sourced data labeling. The system requests a respective response from each of a set of entities. The set of entities includes crowd workers. Next, the system incrementally receives a number of responses from the set of entities until one of an accuracy threshold is reached and m responses are received, wherein the accuracy threshold is based on characteristics of the number of responses. Finally, the system generates an output response based on the number of responses.

Abstract translation: 用于人群来源的数据标签的系统，方法和计算机可读存储设备。 系统从一组实体中的每一个请求相应的响应。 这组实体包括人群工作者。 接下来，系统递增地接收来自该组实体的多个响应，直到达到精度阈值之一并接收m个响应，其中精度阈值基于响应数的特性。 最后，系统基于响应的数量生成输出响应。

公开(公告)号：US08606585B2

公开(公告)日：2013-12-10

申请号：US12884436

申请日：2010-09-17

Applicant: Ilya Dan Melamed ,  Yeon-Jun Kim

Inventor： Ilya Dan Melamed ,  Yeon-Jun Kim

IPC: G10L11/00 ,  G06F17/00

CPC classification number: G10L25/48 ,  G10L15/26

Abstract: A method, apparatus, and computer-readable medium for editing a data stream based on a corpus are provided. The data stream includes stream words. A sequence includes a predetermined number of sequential words of the stream words. The method, apparatus, and computer-readable medium determine whether the sequence exists in the corpus at least at a predetermined minimum frequency. When the sequence exists in the corpus at least at the predetermined minimum frequency, the sequence is edited in the data stream.

Abstract translation: 提供了一种用于基于语料库编辑数据流的方法，装置和计算机可读介质。 数据流包括流字。 序列包括预定数量的流字的顺序字。 方法，装置和计算机可读介质至少以预定的最小频率确定序列是否存在于语料库中。 当序列至少以预定的最小频率存在于语料库中时，序列在数据流中被编辑。

公开(公告)号：US20130132080A1

公开(公告)日：2013-05-23

申请号：US13300087

申请日：2011-11-18

Applicant: Jason Williams ,  Tirso Alonso ,  Barbara B. Hollister ,  Ilya Dan Melamed

Inventor： Jason Williams ,  Tirso Alonso ,  Barbara B. Hollister ,  Ilya Dan Melamed

IPC: G10L15/26 ,  G10L15/06

CPC classification number: G10L15/01 ,  G06F17/30743 ,  G06N99/005 ,  G10L15/063 ,  G10L15/26 ,  G10L15/265 ,  G10L2015/0638

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for crowd-sourced data labeling. The system requests a respective response from each of a set of entities. The set of entities includes crowd workers. Next, the system incrementally receives a number of responses from the set of entities until at least one of an accuracy threshold is reached and m responses are received, wherein the accuracy threshold is based on characteristics of the number of responses. Finally, the system generates an output response based on the number of responses.

Abstract translation: 本文公开了用于人群来源的数据标签的系统，方法和非暂时的计算机可读存储介质。 系统从一组实体中的每一个请求相应的响应。 这组实体包括人群工作者。 接下来，系统递增地接收来自该组实体的多个响应，直到达到精度阈值和接收m个响应中的至少一个，其中精度阈值基于响应数的特性。 最后，系统基于响应的数量生成输出响应。

公开(公告)号：US09213978B2

公开(公告)日：2015-12-15

申请号：US12895337

申请日：2010-09-30

Applicant: Ilya Dan Melamed ,  Mazin Gilbert

Inventor： Ilya Dan Melamed ,  Mazin Gilbert

IPC: G10L25/27 ,  G10L25/72 ,  G06Q30/00 ,  G06F17/30

CPC classification number: G06N7/005 ,  G06F17/30684 ,  G06Q30/01

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for performing trend analysis of speech. A system practicing the method receives a speech trend analysis request having candidate feature constraints, an objective function with respect to a speech trend to be analyzed, and a set of speech record constraints. The system selects a subset of speech records from the group of speech records based on the set of speech record constraints to yield selected speech records, identifies features in the selected speech records based on the set of candidate feature constraints to yield identified features, and assigns a weight to each of the identified features based on the objective function. Then the system ranks the identified features by their respective weights to yield ranked identified features, and outputs at least one of the ranked identified features associated with a speech-based trend in response to the speech trend analysis request.

Abstract translation: 这里公开了用于执行语音趋势分析的系统，方法和非暂时的计算机可读存储介质。 实施该方法的系统接收具有候选特征约束的语音趋势分析请求，关于待分析的语音趋势的目标函数和一组语音记录约束。 该系统基于语音记录约束集从语音记录组中选择语音记录的子集，以产生所选择的语音记录，基于候选特征约束集来识别所选语音记录中的特征，以产生所识别的特征，并且分配 基于目标函数对每个识别的特征的权重。 然后，系统通过它们各自的权重对所识别的特征进行排序，以产生排名确定的特征，并响应于语音趋势分析请求输出与基于语音的趋势相关联的排名确定的特征中的至少一个。