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1. 发明授权

EP1701337B1 Method of speech recognition 有权
标题翻译：一种语音识别方法
公开(公告)号：EP1701337B1
公开(公告)日：2009-11-25
申请号：EP06013383.2
申请日：2005-01-13
申请人： Microsoft Corporation
发明人： Attias, Hagai , Lee, Leo , Deng, Li
IPC分类号： G10L15/14
CPC分类号： G10L15/14 , G10L2015/0638

2. 发明授权

EP1557823B1 Method of setting posterior probability parameters for a switching state space model 有权
标题翻译：一种用于概率参数的确定为状态空间模型变量方法
公开(公告)号：EP1557823B1
公开(公告)日：2007-02-28
申请号：EP05000586.7
申请日：2005-01-13
申请人： MICROSOFT CORPORATION
发明人： Attias, Hagai , Lee, Leo , Deng, Li
IPC分类号： G10L15/14
CPC分类号： G10L15/14 , G10L2015/0638

3. 发明公开

EP1701337A3 Method of setting posterior probability parameters for a switching state space model and method of speech recognition 有权
标题翻译：使用多Variationsinferenz与可变的状态空间模型的语音识别方法
公开(公告)号：EP1701337A3
公开(公告)日：2007-09-05
申请号：EP06013383.2
申请日：2005-01-13
申请人： Microsoft Corporation
发明人： Attias, Hagai , Lee, Leo , Deng, Li
IPC分类号： G10L15/14
CPC分类号： G10L15/14 , G10L2015/0638
摘要： A method of efficiently setting posterior probability parameters for a switching state space model begins by defining a window containing at least two but fewer than all of the frames. A separate posterior probability parameter is determined for each frame in the window. The window is then shifted sequentially from left to right in time so that it includes one or more subsequent frames in the sequence of frames. A separate posterior probability parameter is then determined for each frame in the shifted window. This method closely approximates a more rigorous solution but saves computational cost by two to three orders of magnitude. Further, a method of determining the optimal discrete state sequence in the switching state space model is invented that directly exploits the observation vector on a frame-by-frame basis and operates from left to right in time.

4. 发明公开

EP1557823A3 Method of setting posterior probability parameters for a switching state space model and method of speech recognition 有权
标题翻译：用于可变状态空间模型和语音识别方法的概率参数的确定方法
公开(公告)号：EP1557823A3
公开(公告)日：2005-08-24
申请号：EP05000586.7
申请日：2005-01-13
申请人： MICROSOFT CORPORATION
发明人： Attias, Hagai , Lee, Leo , Deng, Li
IPC分类号： G10L15/14
CPC分类号： G10L15/14 , G10L2015/0638
摘要： A method of efficiently setting posterior probability parameters for a switching state space model begins by defining a window containing at least two but fewer than all of the frames. A separate posterior probability parameter is determined for each frame in the window. The window is then shifted sequentially from left to right in time so that it includes one or more subsequent frames in the sequence of frames. A separate posterior probability parameter is then determined for each frame in the shifted window. This method closely approximates a more rigorous solution but saves computational cost by two to three orders of magnitude. Further, a method of determining the optimal discrete state sequence in the switching state space model is invented that directly exploits the observation vector on a frame-by-frame basis and operates from left to right in time.

5. 发明公开

EP1701337A2 Method of setting posterior probability parameters for a switching state space model and method of speech recognition 有权
标题翻译：设置切换状态空间模型和语音识别方法的后验概率参数的方法
公开(公告)号：EP1701337A2
公开(公告)日：2006-09-13
申请号：EP06013383.2
申请日：2005-01-13
申请人： Microsoft Corporation
发明人： Attias, Hagai , Lee, Leo , Deng, Li
IPC分类号： G10L15/14
CPC分类号： G10L15/14 , G10L2015/0638
摘要： A method of efficiently setting posterior probability parameters for a switching state space model begins by defining a window containing at least two but fewer than all of the frames. A separate posterior probability parameter is determined for each frame in the window. The window is then shifted sequentially from left to right in time so that it includes one or more subsequent frames in the sequence of frames. A separate posterior probability parameter is then determined for each frame in the shifted window. This method closely approximates a more rigorous solution but saves computational cost by two to three orders of magnitude. Further, a method of determining the optimal discrete state sequence in the switching state space model is invented that directly exploits the observation vector on a frame-by-frame basis and operates from left to right in time.
摘要翻译：有效地设置切换状态空间模型的后验概率参数的方法首先定义包含至少两个但少于全部帧的窗口。为窗口中的每个帧确定单独的后验概率参数。该窗口然后在时间上从左向右依次移位，以便它包括帧序列中的一个或多个后续帧。然后为移位窗口中的每个帧确定单独的后验概率参数。这种方法非常接近更严格的解决方案，但节省了两到三个数量级的计算成本。此外，发明了一种在开关状态空间模型中确定最佳离散状态序列的方法，该方法在逐帧的基础上直接利用观测向量，并且按时间从左向右操作。

6. 发明公开

EP1557823A2 Method of setting posterior probability parameters for a switching state space model and method of speech recognition 有权
标题翻译：一种用于概率参数的确定为状态空间模型变量方法
公开(公告)号：EP1557823A2
公开(公告)日：2005-07-27
申请号：EP05000586.7
申请日：2005-01-13
申请人： MICROSOFT CORPORATION
发明人： Attias, Hagai , Lee, Leo , Deng, Li
IPC分类号： G10L15/14
CPC分类号： G10L15/14 , G10L2015/0638
摘要： A method of efficiently setting posterior probability parameters for a switching state space model begins by defining a window containing at least two but fewer than all of the frames. A separate posterior probability parameter is determined for each frame in the window. The window is then shifted sequentially from left to right in time so that it includes one or more subsequent frames in the sequence of frames. A separate posterior probability parameter is then determined for each frame in the shifted window. This method closely approximates a more rigorous solution but saves computational cost by two to three orders of magnitude. Further, a method of determining the optimal discrete state sequence in the switching state space model is invented that directly exploits the observation vector on a frame-by-frame basis and operates from left to right in time.
摘要翻译：用于切换状态空间模型设定高效后验概率参数的方法开始于定义含有至少两个但不是全部的帧的较少的窗口。一个单独的后验概率参数确定性开采窗口中的每个帧。窗，然后在时间上移位顺序地从左至右所以做到了包括帧序列中的一个或多个随后的帧。一个单独的后验概率的参数，然后确定开采在移位窗口中的每个帧。这种方法非常接近更严格的解决方案，但节省了两到三个数量级的计算成本。另外，在开关状态空间模型的最优离散状态序列发明确定性采矿的方法做了直接利用上一帧接一帧的基础上观测矢量和从在时间从左向右运行。

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