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公开(公告)号：US20150019074A1
公开(公告)日：2015-01-15
申请号：US14331693
申请日：2014-07-15
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ute Winter , Ron M. Hecht , Timothy J. Grost , Robert D. Sims
CPC classification number: G10L15/01 , B60K37/06 , B60K2350/1044 , B60W2540/02 , G07C3/14 , G10L15/22 , G10L2015/223 , G10L2015/226
Abstract: A method and system can control a speech recognition system in a vehicle. The method includes monitoring adaptive feature data about interactions between a user and the speech recognition system. The method includes determining a first group of samples of the adaptive feature data and creating a control chart based on the first group of samples. The control chart includes a control limit. The method further includes determining a second group of samples of the adaptive feature data after creating the control chart. Furthermore, the method includes calculating an arithmetic mean of each sample of the second group of samples to determine a sample mean, comparing the sample mean to the control limit in order identify unexpected performance of the speech recognition system. The method includes adjusting the speech recognition system based on the identified unexpected performance if the unexpected performance is identified.
Abstract translation: 方法和系统可以控制车辆中的语音识别系统。 该方法包括监测关于用户和语音识别系统之间的交互的自适应特征数据。 该方法包括确定自适应特征数据的第一组样本并基于第一组样本创建控制图。 控制图包括控制限制。 该方法还包括在创建控制图之后确定自适应特征数据的第二组采样。 此外，该方法包括计算第二组样本的每个样本的算术平均值以确定样本平均值，将样本平均值与控制极限进行比较，以便识别语音识别系统的意外性能。 该方法包括：如果识别出意外的性能，则基于识别的意外性能来调整语音识别系统。
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公开(公告)号：US09443507B2
公开(公告)日：2016-09-13
申请号：US14331693
申请日：2014-07-15
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ute Winter , Ron M. Hecht , Timothy J. Grost , Robert D. Sims
CPC classification number: G10L15/01 , B60K37/06 , B60K2350/1044 , B60W2540/02 , G07C3/14 , G10L15/22 , G10L2015/223 , G10L2015/226
Abstract: A method and system can control a speech recognition system in a vehicle. The method includes monitoring adaptive feature data about interactions between a user and the speech recognition system. The method includes determining a first group of samples of the adaptive feature data and creating a control chart based on the first group of samples. The control chart includes a control limit. The method further includes determining a second group of samples of the adaptive feature data after creating the control chart. Furthermore, the method includes calculating an arithmetic mean of each sample of the second group of samples to determine a sample mean, comparing the sample mean to the control limit in order identify unexpected performance of the speech recognition system. The method includes adjusting the speech recognition system based on the identified unexpected performance if the unexpected performance is identified.
Abstract translation: 方法和系统可以控制车辆中的语音识别系统。 该方法包括监测关于用户和语音识别系统之间的交互的自适应特征数据。 该方法包括确定自适应特征数据的第一组样本并基于第一组样本创建控制图。 控制图包括控制限制。 该方法还包括在创建控制图之后确定自适应特征数据的第二组采样。 此外，该方法包括计算第二组样本的每个样本的算术平均值以确定样本平均值，将样本平均值与控制极限进行比较，以便识别语音识别系统的意外性能。 该方法包括：如果识别出意外的性能，则基于识别的意外性能来调整语音识别系统。
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公开(公告)号：US09396727B2
公开(公告)日：2016-07-19
申请号：US14094110
申请日：2013-12-02
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Eli Tzirkel-Hancock , Greg T. Lindemann , Robert D. Sims , Omer Tsimhoni
CPC classification number: G10L15/22 , G10L2015/223
Abstract: Systems and methods for arbitrating spoken dialog services include determining a capability catalog associated with a plurality of devices accessible within an environment. The capability catalog includes a list of the plurality of devices mapped to a list of spoken dialog services provided by each of the plurality of devices. The system arbitrates between the plurality of devices and the spoken dialog services in the capability catalog to determine a selected device and a selected dialog service.
Abstract translation: 用于仲裁口语对话服务的系统和方法包括确定与在环境中可访问的多个设备相关联的能力目录。 能力目录包括映射到由多个设备中的每一个提供的口语对话服务的列表的多个设备的列表。 系统在多个设备之间仲裁并且在能力目录中对口语对话服务进行仲裁以确定所选择的设备和所选择的对话服务。
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