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1. 发明授权

US09129606B2 User query history expansion for improving language model adaptation 有权
标题翻译：用户查询历史扩展用于改进语言模型适应
公开(公告)号：US09129606B2
公开(公告)日：2015-09-08
申请号：US13242912
申请日：2011-09-23
申请人： Shuangyu Chang , Michael Levit , Bruce Melvin Buntschuh
发明人： Shuangyu Chang , Michael Levit , Bruce Melvin Buntschuh
IPC分类号： G10L15/02 , G06F17/24 , G06F3/0482 , G10L15/34
CPC分类号： G10L15/18 , G06F17/30528 , G06F17/30867 , G06F17/30958 , G06F17/3097 , G06F17/30976 , G10L15/34
摘要： Query history expansion may be provided. Upon receiving a spoken query from a user, an adapted language model may be applied to convert the spoken query to text. The adapted language model may comprise a plurality of queries interpolated from the user's previous queries and queries associated with other users. The spoken query may be executed and the results of the spoken query may be provided to the user.
摘要翻译：可以提供查询历史扩展。在接收到来自用户的口语查询之后，可以应用适应的语言模型来将口语查询转换为文本。适应语言模型可以包括从用户先前的查询和与其他用户相关联的查询插值的多个查询。可以执行口语查询，并且可以向用户提供口语查询的结果。

2. 发明申请

US20130080150A1 Automatic Semantic Evaluation of Speech Recognition Results 有权
标题翻译：语音识别结果的自动语义评估
公开(公告)号：US20130080150A1
公开(公告)日：2013-03-28
申请号：US13243098
申请日：2011-09-23
申请人： Michael Levit , Shuangyu Chang , Bruce Melvin Buntschuh , Nick Kibre
发明人： Michael Levit , Shuangyu Chang , Bruce Melvin Buntschuh , Nick Kibre
IPC分类号： G06F17/27
CPC分类号： G06F17/273 , G10L15/01 , G10L15/1815 , G10L15/26
摘要： A semantic error rate calculation may be provided. After receiving a spoken query from a user, the spoken query may be converted to text according to a first speech recognition hypothesis. A plurality of results associated with the converted query may be received and compared to a second plurality of results associated with the converted query.
摘要翻译：可以提供语义错误率计算。在从用户接收到口语查询之后，口语查询可以根据第一语音识别假设被转换为文本。可以接收与转换的查询相关联的多个结果，并将其与与转换的查询相关联的第二多个结果进行比较。

3. 发明申请

US20100082343A1 SEQUENTIAL SPEECH RECOGNITION WITH TWO UNEQUAL ASR SYSTEMS 有权
标题翻译：具有两个非正常ASR系统的顺序语音识别
公开(公告)号：US20100082343A1
公开(公告)日：2010-04-01
申请号：US12240143
申请日：2008-09-29
申请人： Michael Levit , Shuangyu Chang , Bruce Melvin Buntschuh
发明人： Michael Levit , Shuangyu Chang , Bruce Melvin Buntschuh
IPC分类号： G10L15/18
CPC分类号： G10L15/32 , G10L2015/0631
摘要： Sequential speech recognition using two unequal automatic speech recognition (ASR) systems may be provided. The system may provide two sets of vocabulary data. A determination may be made as to whether entries in one set of vocabulary data are likely to be confused with entries in the other set of vocabulary data. If confusion is likely, a decoy entry from one set of the vocabulary data may be placed in the other set of vocabulary data to ensure more efficient and accurate speech recognition processing may take place.
摘要翻译：可以提供使用两个不等的自动语音识别（ASR）系统的顺序语音识别。系统可以提供两组词汇数据。可以确定一组词汇数据中的条目是否可能与另一组词汇数据中的条目混淆。如果混淆很可能，则一组词汇数据中的诱饵条目可以被放置在另一组词汇数据中，以确保可能发生更有效和准确的语音识别处理。

4. 发明申请

US20120316877A1 DYNAMICALLY ADDING PERSONALIZATION FEATURES TO LANGUAGE MODELS FOR VOICE SEARCH 有权
标题翻译：动态添加个性化功能语言模型语音搜索
公开(公告)号：US20120316877A1
公开(公告)日：2012-12-13
申请号：US13158453
申请日：2011-06-12
申请人： Geoffrey Zweig , Shuangyu Chang
发明人： Geoffrey Zweig , Shuangyu Chang
IPC分类号： G10L15/04
CPC分类号： G10L15/197 , G10L15/07
摘要： A dynamic exponential, feature-based, language model is continually adjusted per utterance by a user, based on the user's usage history. This adjustment of the model is done incrementally per user, over a large number of users, each with a unique history. The user history can include previously recognized utterances, text queries, and other user inputs. The history data for a user is processed to derive features. These features are then added into the language model dynamically for that user.
摘要翻译：基于用户的使用历史，用户每个话语不断调整动态指数，基于特征的语言模型。模型的这种调整是每个用户逐步完成的，在大量用户中，每个用户都有独特的历史记录。用户历史可以包括先前识别的话语，文本查询和其他用户输入。处理用户的历史数据以导出特征。然后将这些功能动态地添加到该用户的语言模型中。

5. 发明授权

US07657433B1 Speech recognition accuracy with multi-confidence thresholds 有权
标题翻译：具有多重置信度阈值的语音识别精度
公开(公告)号：US07657433B1
公开(公告)日：2010-02-02
申请号：US11530212
申请日：2006-09-08
申请人： Shuangyu Chang
发明人： Shuangyu Chang
IPC分类号： G10L15/04
CPC分类号： G10L15/08
摘要： A speech recognition system uses multiple confidence thresholds to improve the quality of speech recognition results. The choice of which confidence threshold to use for a particular utterance may be based on one or more features relating to the utterance. In one particular implementation, the speech recognition system includes a speech recognition engine that provides speech recognition results and a confidence score for an input utterance. The system also includes a threshold selection component that determines, based on the received input utterance, a threshold value corresponding to the input utterance. The system further includes a threshold component that accepts the recognition results based on a comparison of the confidence score to the threshold value.
摘要翻译：语音识别系统使用多个置信阈值来提高语音识别结果的质量。用于特定话语的置信阈值的选择可以基于与话语相关的一个或多个特征。在一个特定实施方式中，语音识别系统包括语音识别引擎，其为输入话语提供语音识别结果和置信度分数。该系统还包括阈值选择部件，该阈值选择部件基于接收到的输入话语来确定与输入的话语对应的阈值。该系统还包括基于置信度分数与阈值的比较来接受识别结果的阈值分量。

6. 发明授权

US09053087B2 Automatic semantic evaluation of speech recognition results 有权
标题翻译：语音识别结果自动语义评估
公开(公告)号：US09053087B2
公开(公告)日：2015-06-09
申请号：US13243098
申请日：2011-09-23
申请人： Michael Levit , Shuangyu Chang , Bruce Melvin Buntschuh , Nick Kibre
发明人： Michael Levit , Shuangyu Chang , Bruce Melvin Buntschuh , Nick Kibre
IPC分类号： G06F7/00 , G06F17/00 , G06F17/30 , G06F3/00 , G06F17/27 , G10L15/00 , G10L15/26 , G10L15/06 , G10L15/01 , G10L15/18
CPC分类号： G06F17/273 , G10L15/01 , G10L15/1815 , G10L15/26
摘要： A semantic error rate calculation may be provided. After receiving a spoken query from a user, the spoken query may be converted to text according to a first speech recognition hypothesis. A plurality of results associated with the converted query may be received and compared to a second plurality of results associated with the converted query.
摘要翻译：可以提供语义错误率计算。在从用户接收到口语查询之后，口语查询可以根据第一语音识别假设被转换为文本。可以接收与转换的查询相关联的多个结果，并将其与与转换的查询相关联的第二多个结果进行比较。

7. 发明授权

US08938391B2 Dynamically adding personalization features to language models for voice search 有权
标题翻译：动态地将个性化功能添加到语音搜索的语言模型中
公开(公告)号：US08938391B2
公开(公告)日：2015-01-20
申请号：US13158453
申请日：2011-06-12
申请人： Geoffrey Zweig , Shuangyu Chang
发明人： Geoffrey Zweig , Shuangyu Chang
IPC分类号： G10L15/04
CPC分类号： G10L15/197 , G10L15/07
摘要： A dynamic exponential, feature-based, language model is continually adjusted per utterance by a user, based on the user's usage history. This adjustment of the model is done incrementally per user, over a large number of users, each with a unique history. The user history can include previously recognized utterances, text queries, and other user inputs. The history data for a user is processed to derive features. These features are then added into the language model dynamically for that user.
摘要翻译：基于用户的使用历史，用户每个话语不断调整动态指数，基于特征的语言模型。模型的这种调整是每个用户逐步完成的，在大量用户中，每个用户都有独特的历史记录。用户历史可以包括先前识别的话语，文本查询和其他用户输入。处理用户的历史数据以导出特征。然后将这些功能动态地添加到该用户的语言模型中。

8. 发明申请

US20100312546A1 RECOGNITION USING RE-RECOGNITION AND STATISTICAL CLASSIFICATION 有权
标题翻译：使用重新识别和统计分类的识别
公开(公告)号：US20100312546A1
公开(公告)日：2010-12-09
申请号：US12477918
申请日：2009-06-04
申请人： Shuangyu Chang , Michael Levit , Bruce Buntschuh
发明人： Shuangyu Chang , Michael Levit , Bruce Buntschuh
IPC分类号： G10L15/18
CPC分类号： G06N99/005 , G10L15/08 , G10L15/19 , G10L15/32 , G10L2015/228
摘要： Architecture that employs an overall grammar as a set of context-specific grammars for recognition of an input, each responsible for a specific context, such as subtask category, geographic region, etc. The grammars together cover the entire domain. Moreover, multiple recognitions can be run in parallel against the same input, where each recognition uses one or more of the context-specific grammars. The multiple intermediate recognition results from the different recognizer-grammars are reconciled by running re-recognition using a dynamically composed grammar based on the multiple recognition results and potentially other domain knowledge, or selecting the winner using a statistical classifier operating on classification features extracted from the multiple recognition results and other domain knowledge.
摘要翻译：使用整体语法作为一组上下文特定语法的体系结构，用于识别输入，每个语言负责特定上下文，例如子任务类别，地理区域等。语法一起涵盖整个域。此外，可以针对相同的输入并行运行多个识别，其中每个识别使用一个或多个上下文特定语法。通过使用基于多个识别结果和潜在的其他领域知识的动态组合语法运行重新识别来协调来自不同识别器语法的多个中间识别结果，或者使用对从分类特征提取的分类特征进行运算的统计分类器来选择胜者多重识别结果等领域知识。

9. 发明授权

US08930179B2 Recognition using re-recognition and statistical classification 有权
标题翻译：识别使用重新识别和统计分类
公开(公告)号：US08930179B2
公开(公告)日：2015-01-06
申请号：US12477918
申请日：2009-06-04
申请人： Shuangyu Chang , Michael Levit , Bruce Buntschuh
发明人： Shuangyu Chang , Michael Levit , Bruce Buntschuh
IPC分类号： G06F17/27
CPC分类号： G06N99/005 , G10L15/08 , G10L15/19 , G10L15/32 , G10L2015/228
摘要： Architecture that employs an overall grammar as a set of context-specific grammars for recognition of an input, each responsible for a specific context, such as subtask category, geographic region, etc. The grammars together cover the entire domain. Moreover, multiple recognitions can be run in parallel against the same input, where each recognition uses one or more of the context-specific grammars. The multiple intermediate recognition results from the different recognizer-grammars are reconciled by running re-recognition using a dynamically composed grammar based on the multiple recognition results and potentially other domain knowledge, or selecting the winner using a statistical classifier operating on classification features extracted from the multiple recognition results and other domain knowledge.
摘要翻译：使用整体语法作为一组上下文特定语法的体系结构，用于识别输入，每个语言负责特定上下文，例如子任务类别，地理区域等。语法一起涵盖整个域。此外，可以针对相同的输入并行运行多个识别，其中每个识别使用一个或多个上下文特定语法。通过使用基于多个识别结果和潜在的其他领域知识的动态组合语法运行重新识别来协调来自不同识别器语法的多个中间识别结果，或者使用对从分类特征提取的分类特征进行运算的统计分类器来选择胜者多重识别结果等领域知识。

10. 发明申请

US20130080162A1 User Query History Expansion for Improving Language Model Adaptation 有权
标题翻译：用户查询历史扩展用于改进语言模型适应
公开(公告)号：US20130080162A1
公开(公告)日：2013-03-28
申请号：US13242912
申请日：2011-09-23
申请人： Shuangyu Chang , Michael Levit , Bruce Melvin Buntschuh
发明人： Shuangyu Chang , Michael Levit , Bruce Melvin Buntschuh
IPC分类号： G10L15/26
CPC分类号： G10L15/18 , G06F17/30528 , G06F17/30867 , G06F17/30958 , G06F17/3097 , G06F17/30976 , G10L15/34
摘要： Query history expansion may be provided. Upon receiving a spoken query from a user, an adapted language model may be applied to convert the spoken query to text. The adapted language model may comprise a plurality of queries interpolated from the user's previous queries and queries associated with other users. The spoken query may be executed and the results of the spoken query may be provided to the user.
摘要翻译：可以提供查询历史扩展。在接收到来自用户的口语查询之后，可以应用适应的语言模型来将口语查询转换为文本。适应语言模型可以包括从用户先前的查询和与其他用户相关联的查询插值的多个查询。可以执行口语查询，并且可以向用户提供口语查询的结果。

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