公开(公告)号：US20160078360A1

公开(公告)日：2016-03-17

申请号：US14953786

申请日：2015-11-30

Applicant: AT&T Intellectual Property I, L.P.

Inventor： ILYA Dan MELAMED ,  Mazin GILBERT

IPC: G06N7/00 ,  G06F17/30

CPC classification number: G06N7/005 ,  G06F16/3344 ,  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。