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1. 发明授权

US06393397B1 Cohort model selection apparatus and method 失效
标题翻译：队列模型选择装置及方法
公开(公告)号：US06393397B1
公开(公告)日：2002-05-21
申请号：US09332927
申请日：1999-06-14
申请人： Ho Chuen Choi , Xiaoyuan Zhu , Jianming Song
发明人： Ho Chuen Choi , Xiaoyuan Zhu , Jianming Song
IPC分类号： G10L1506
CPC分类号： G10L17/04 , G10L17/12
摘要： An apparatus for selecting a cohort model for use in a speaker verification system includes a model generator (108) for determining a target speaker model (114) from a speech sample collected from the target speaker (106). A cohort selector (110) determines a similarity value between each of a number of predetermined existing speaker models from a model pool (112) and the target speaker model (114) and a dissimilarity value between each of the existing speaker models and any previously selected cohort models (116). An existing speaker model which is most similar to the target speaker model, but most dissimilar to previously chosen cohort models, is then chosen as another cohort model for the target speaker.
摘要翻译：一种用于选择在扬声器验证系统中使用的队列模型的装置包括：模型发生器（108），用于从从目标扬声器（106）收集的语音样本中确定目标说话者模型（114）。队列选择器（110）确定来自模型池（112）和目标说话者模型（114）的多个预定的现有说话者模型中的每一个之间的相似度值，以及现有说话者模型中的每一者与之前选择的任何一个之间的相似度值队列模型（116）。然而，与目标说话者模型最相似但与以前选择的队列模型最相似的现有说话者模型被选择为目标说话者的另一队列模型。

2. 发明授权

US06735562B1 Method for estimating a confidence measure for a speech recognition system 有权
标题翻译：用于估计语音识别系统的置信度量度的方法
公开(公告)号：US06735562B1
公开(公告)日：2004-05-11
申请号：US09588163
申请日：2000-06-05
申请人： Yaxin Zhang , Ho Chuen Choi , Jian Ming Song
发明人： Yaxin Zhang , Ho Chuen Choi , Jian Ming Song
IPC分类号： G10L1514
CPC分类号： G10L15/01
摘要： A method of estimating a confidence measure for a speech recognition system, involves comparing an input speech signal with a number of predetermined models of possible speech signals. Best scores indicating the degree of similarity between the input speech signal and each of the predetermined models are then used to determine a normalized variance, which is used as the Confidence Measure, in order to determine whether the input speech signal has been correctly recognized, the Confidence Measure is compared to a threshold value. The threshold value is weighted according to the Signal to Noise Ratio of the input speech signal and according to the number of predetermined models used.
摘要翻译：一种估计语音识别系统的置信度测量的方法，包括将输入语音信号与可能的语音信号的多个预定模型进行比较。然后使用表示输入语音信号与每个预定模型之间的相似程度的最佳分数来确定用作置信度量的归一化方差，以便确定输入语音信号是否已被正确识别，将置信度与阈值进行比较。阈值根据输入语音信号的信噪比和根据所使用的预定模型的数量进行加权。

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