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1. 发明授权

US08355917B2 Position-dependent phonetic models for reliable pronunciation identification 有权
标题翻译：位置依赖语音模型，用于可靠的发音识别
公开(公告)号：US08355917B2
公开(公告)日：2013-01-15
申请号：US13364144
申请日：2012-02-01
申请人： Peng Liu , Yu Shi , Frank Kao-ping Soong
发明人： Peng Liu , Yu Shi , Frank Kao-ping Soong
IPC分类号： G10L15/28
CPC分类号： G10L15/187 , G10L15/183
摘要： A representation of a speech signal is received and is decoded to identify a sequence of position-dependent phonetic tokens wherein each token comprises a phone and a position indicator that indicates the position of the phone within a syllable.
摘要翻译：语音信号的表示被接收并且被解码以识别位置依赖语音令牌的序列，其中每个令牌包括电话和指示电话在音节内的位置的位置指示符。

2. 发明申请

US20080172224A1 Position-dependent phonetic models for reliable pronunciation identification 有权
标题翻译：位置依赖语音模型，用于可靠的发音识别
公开(公告)号：US20080172224A1
公开(公告)日：2008-07-17
申请号：US11652451
申请日：2007-01-11
申请人： Peng Liu , Yu Shi , Frank Kao-ping Soong
发明人： Peng Liu , Yu Shi , Frank Kao-ping Soong
IPC分类号： G10L19/04
CPC分类号： G10L15/187 , G10L15/183
摘要： A representation of a speech signal is received and is decoded to identify a sequence of position-dependent phonetic tokens wherein each token comprises a phone and a position indicator that indicates the position of the phone within a syllable.
摘要翻译：语音信号的表示被接收并且被解码以识别位置依赖语音令牌的序列，其中每个令牌包括电话和位置指示符，其指示电话在音节内的位置。

3. 发明申请

US20120191456A1 POSITION-DEPENDENT PHONETIC MODELS FOR RELIABLE PRONUNCIATION IDENTIFICATION 有权
标题翻译：用于可靠发信标识的位置相关电话模型
公开(公告)号：US20120191456A1
公开(公告)日：2012-07-26
申请号：US13364144
申请日：2012-02-01
申请人： Peng Liu , Yu Shi , Frank Kao-ping Soong
发明人： Peng Liu , Yu Shi , Frank Kao-ping Soong
IPC分类号： G10L15/04
CPC分类号： G10L15/187 , G10L15/183
摘要： A representation of a speech signal is received and is decoded to identify a sequence of position-dependent phonetic tokens wherein each token comprises a phone and a position indicator that indicates the position of the phone within a syllable.
摘要翻译：语音信号的表示被接收并且被解码以识别位置依赖语音令牌的序列，其中每个令牌包括电话和位置指示符，其指示电话在音节内的位置。

4. 发明授权

US08135590B2 Position-dependent phonetic models for reliable pronunciation identification 有权
标题翻译：位置依赖语音模型，用于可靠的发音识别
公开(公告)号：US08135590B2
公开(公告)日：2012-03-13
申请号：US11652451
申请日：2007-01-11
申请人： Peng Liu , Yu Shi , Frank Kao-ping Soong
发明人： Peng Liu , Yu Shi , Frank Kao-ping Soong
IPC分类号： G10L15/28
CPC分类号： G10L15/187 , G10L15/183
摘要： A representation of a speech signal is received and is decoded to identify a sequence of position-dependent phonetic tokens wherein each token comprises a phone and a position indicator that indicates the position of the phone within a syllable.
摘要翻译：语音信号的表示被接收并且被解码以识别位置依赖语音令牌的序列，其中每个令牌包括电话和指示电话在音节内的位置的位置指示符。

5. 发明申请

US20090324082A1 CHARACTER AUTO-COMPLETION FOR ONLINE EAST ASIAN HANDWRITING INPUT 有权
标题翻译：在线东亚手写输入的字符自动完成
公开(公告)号：US20090324082A1
公开(公告)日：2009-12-31
申请号：US12146874
申请日：2008-06-26
申请人： Peng Liu , Lei Ma , Frank Kao-Ping Soong
发明人： Peng Liu , Lei Ma , Frank Kao-Ping Soong
IPC分类号： G06K9/18 , G06F3/033
CPC分类号： G06F3/018 , G06K9/00416 , G06K9/00429
摘要： An exemplary method includes receiving stroke information for a partially written East Asian character, the East Asian character representable by one or more radicals; based on the stroke information, selecting a radical on a prefix tree wherein the prefix tree branches to East Asian characters as end states; identifying one or more East Asian characters as end states that correspond to the selected radical for the partially written East Asian character; and receiving user input to verify that one of the identified one or more East Asian characters is the end state for the partially written East Asian character. In such a method, the selection of a radical can occur using radical-based hidden Markov models. Various other exemplary methods, devices, systems, etc., are also disclosed.
摘要翻译：一种示例性的方法包括接收部分书写的东亚字符的笔画信息，东亚字符可由一个或多个基团表示; 基于笔画信息，在前缀树上以东亚字符分支为前缀树的前缀树选择基数; 将一个或多个东亚字符识别为对应于部分写入的东亚人物的所选激进的终端状态; 并接收用户输入以验证所识别的一个或多个东亚字符中的一个是部分写入的东亚字符的结束状态。在这种方法中，可以使用基于激进的隐马尔可夫模型来进行激进的选择。还公开了各种其它示例性方法，装置，系统等。

6. 发明申请

US20080243503A1 MINIMUM DIVERGENCE BASED DISCRIMINATIVE TRAINING FOR PATTERN RECOGNITION 审中-公开
标题翻译：最小的基于分歧的歧视识别训练
公开(公告)号：US20080243503A1
公开(公告)日：2008-10-02
申请号：US11694375
申请日：2007-03-30
申请人： Frank Kao-Ping Soong , Peng Liu , Jian-Iai Zhou , Dongmei Zhang
发明人： Frank Kao-Ping Soong , Peng Liu , Jian-Iai Zhou , Dongmei Zhang
IPC分类号： G10L15/06
CPC分类号： G10L15/063
摘要： A method of providing discriminative training of a speech recognition unit is discussed. The method includes receiving an acoustic indication of an utterance having a hypothesis space and comparing the hypothesis space against a reference. The method measures the Kullback-Leibler Divergence (KLD) between the reference and the hypothesis space to adjust the reference and stores the adjusted reference on a tangible storage medium.
摘要翻译：讨论了提供语音识别单元的辨别性训练的方法。该方法包括接收具有假设空间的话语的声学指示，并将假设空间与参考值进行比较。该方法测量参考和假设空间之间的Kullback-Leibler发散（KLD）以调整参考，并将调整的参考存储在有形存储介质上。

7. 发明授权

US07680664B2 Parsimonious modeling by non-uniform kernel allocation 有权
标题翻译：通过非均匀内核分配进行建模
公开(公告)号：US07680664B2
公开(公告)日：2010-03-16
申请号：US11505206
申请日：2006-08-16
申请人： Peng Liu , Jian-Iai Zhou , Frank Kao-ping Soong
发明人： Peng Liu , Jian-Iai Zhou , Frank Kao-ping Soong
IPC分类号： G10L15/14 , G10L15/28
CPC分类号： G06K9/6297 , G10L15/14 , G10L15/144
摘要： A multi-state pattern recognition model with non-uniform kernel allocation is formed by setting a number of states for a multi-state pattern recognition model and assigning different numbers of kernels to different states. The kernels are then trained using training data to form the multi-state pattern recognition model.
摘要翻译：通过为多状态模式识别模型设置多个状态并将不同数量的内核分配给不同的状态，形成具有不均匀内核分配的多状态模式识别模型。然后使用训练数据训练内核以形成多状态模式识别模型。

8. 发明授权

US08542927B2 Character auto-completion for online east asian handwriting input 有权
标题翻译：字符自动完成在线东亚手写输入
公开(公告)号：US08542927B2
公开(公告)日：2013-09-24
申请号：US12146874
申请日：2008-06-26
申请人： Peng Liu , Lei Ma , Frank Kao-Ping Soong
发明人： Peng Liu , Lei Ma , Frank Kao-Ping Soong
IPC分类号： G06K9/18
CPC分类号： G06F3/018 , G06K9/00416 , G06K9/00429
摘要： An exemplary method includes receiving stroke information for a partially written East Asian character, the East Asian character representable by one or more radicals; based on the stroke information, selecting a radical on a prefix tree wherein the prefix tree branches to East Asian characters as end states; identifying one or more East Asian characters as end states that correspond to the selected radical for the partially written East Asian character; and receiving user input to verify that one of the identified one or more East Asian characters is the end state for the partially written East Asian character. In such a method, the selection of a radical can occur using radical-based hidden Markov models. Various other exemplary methods, devices, systems, etc., are also disclosed.
摘要翻译：一种示例性的方法包括接收部分书写的东亚字符的笔画信息，东亚字符可由一个或多个基团表示; 基于笔画信息，在前缀树上以东亚字符分支为前缀树的前缀树选择基数; 将一个或多个东亚字符识别为对应于部分写入的东亚人物的所选激进的终端状态; 并接收用户输入以验证所识别的一个或多个东亚字符中的一个是部分写入的东亚字符的结束状态。在这种方法中，可以使用基于激进的隐马尔可夫模型来进行激进的选择。还公开了各种其它示例性方法，装置，系统等。

9. 发明申请

US20080059183A1 Parsimonious modeling by non-uniform kernel allocation 有权
标题翻译：通过非均匀内核分配进行建模
公开(公告)号：US20080059183A1
公开(公告)日：2008-03-06
申请号：US11505206
申请日：2006-08-16
申请人： Peng Liu , Jian-lai Zhou , Frank Kao-ping Soong
发明人： Peng Liu , Jian-lai Zhou , Frank Kao-ping Soong
IPC分类号： G10L15/14
CPC分类号： G06K9/6297 , G10L15/14 , G10L15/144
摘要： A multi-state pattern recognition model with non-uniform kernel allocation is formed by setting a number of states for a multi-state pattern recognition model and assigning different numbers of kernels to different states. The kernels are then trained using training data to form the multi-state pattern recognition model.
摘要翻译：通过为多状态模式识别模型设置多个状态并将不同数量的内核分配给不同的状态，形成具有不均匀内核分配的多状态模式识别模型。然后使用训练数据训练内核以形成多状态模式识别模型。

10. 外观设计

USD864282S1 Tripod 有权
公开(公告)号：USD864282S1
公开(公告)日：2019-10-22
申请号：US29624430
申请日：2017-11-01
申请人： Peng Liu
设计人： Peng Liu
摘要： FIG. 1 is a perspective view of a tripod showing my new design;
FIG. 2 is a front elevational view thereof;
FIG. 3 is a rear elevational view thereof;
FIG. 4 is a left side elevational view thereof;
FIG. 5 is a right side elevational view thereof;
FIG. 6 is a top plan view thereof; and,
FIG. 7 is a bottom plan view thereof.

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