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公开(公告)号：US20100030714A1
公开(公告)日：2010-02-04
申请号：US12449298
申请日：2007-01-31
CPC分类号： G10L17/26
摘要： An automated emotional recognition system includes an emotional state classifier adapted to receive, during an operative phase, an input information stream with embedded information related to emotional states of a person, and to generate a succession of emotional state indications derived from the input information stream. The emotional recognition system further includes a post-processing function, configured to receive at least two emotional state indications of the succession and, for each of said at least two emotional state indications, determine a corresponding emotional state representation in an emotional state representation system. The post-processing function is further configured to combine the emotional state representations of the at least two emotional state indications to obtain an output emotional state indication.
摘要翻译： 自动情绪识别系统包括情绪状态分类器，其适于在手术阶段期间接收具有与人的情绪状态相关的嵌入信息的输入信息流，并且生成从输入信息流导出的一系列情绪状态指示。 所述情绪识别系统还包括后处理功能，其被配置为接收所述继承的至少两个情绪状态指示，并且对于所述至少两个情绪状态指示中的每个，确定情绪状态表示系统中相应的情绪状态表示。 后处理功能还被配置为组合至少两个情绪状态指示的情绪状态表示以获得输出情绪状态指示。
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公开(公告)号：US20100088088A1
公开(公告)日：2010-04-08
申请号：US12449259
申请日：2007-01-31
CPC分类号： G10L15/065 , G10L15/30 , G10L17/26
摘要： An automated emotional recognition system is adapted to determine emotional states of a speaker based on the analysis of a speech signal. The emotional recognition system includes at least one server function and at least one client function in communication with the at least one server function for receiving assistance in determining the emotional states of the speaker. The at least one client function includes an emotional features calculator adapted to receive the speech signal and to extract therefrom a set of speech features indicative of the emotional state of the speaker. The emotional state recognition system further includes at least one emotional state decider adapted to determine the emotional state of the speaker exploiting the set of speech features based on a decision model. The server function includes at least a decision model trainer adapted to update the selected decision model according to the speech signal. The decision model to be used by the emotional state decider for determining the emotional state of the speaker is selectable based on a context of use of the recognition system.
摘要翻译： 自动情绪识别系统适于基于语音信号的分析来确定说话人的情绪状态。 所述情绪识别系统包括与所述至少一个服务器功能通信的至少一个服务器功能和至少一个客户端功能，用于在确定所述说话者的情绪状态时接收帮助。 所述至少一个客户端功能包括适于接收所述语音信号并从其中提取指示所述说话者的情绪状态的一组语音特征的情绪特征计算器。 情绪状态识别系统还包括至少一个情绪状态判定器，其适于基于决策模型来确定利用该组语音特征的说话者的情绪状态。 服务器功能至少包括决定模型训练器，其适于根据语音信号来更新所选择的决定模型。 情绪状态决定者用于确定说话者的情感状态的决定模型是基于使用识别系统的上下文来选择的。
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公开(公告)号：US08538755B2
公开(公告)日：2013-09-17
申请号：US12449259
申请日：2007-01-31
CPC分类号： G10L15/065 , G10L15/30 , G10L17/26
摘要： An automated emotional recognition system is adapted to determine emotional states of a speaker based on the analysis of a speech signal. The emotional recognition system includes at least one server function and at least one client function in communication with the at least one server function for receiving assistance in determining the emotional states of the speaker. The at least one client function includes an emotional features calculator adapted to receive the speech signal and to extract therefrom a set of speech features indicative of the emotional state of the speaker. The emotional state recognition system further includes at least one emotional state decider adapted to determine the emotional state of the speaker exploiting the set of speech features based on a decision model. The server function includes at least a decision model trainer adapted to update the selected decision model according to the speech signal. The decision model to be used by the emotional state decider for determining the emotional state of the speaker is selectable based on a context of use of the recognition system.
摘要翻译： 自动情绪识别系统适于基于语音信号的分析来确定说话人的情绪状态。 所述情绪识别系统包括与所述至少一个服务器功能通信的至少一个服务器功能和至少一个客户端功能，用于在确定所述说话者的情绪状态时接收帮助。 所述至少一个客户端功能包括适于接收所述语音信号并从其中提取指示所述说话者的情绪状态的一组语音特征的情绪特征计算器。 情绪状态识别系统还包括至少一个情绪状态判定器，其适于基于决策模型来确定利用该组语音特征的说话者的情绪状态。 服务器功能至少包括决定模型训练器，其适于根据语音信号来更新所选择的决定模型。 情绪状态决定者用于确定说话者的情感状态的决定模型是基于使用识别系统的上下文来选择的。
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