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1. 发明申请

WO2021034395A1 DATA-DRIVEN AND RULE-BASED SPEECH RECOGNITION OUTPUT ENHANCEMENT 审中-公开
公开(公告)号：WO2021034395A1
公开(公告)日：2021-02-25
申请号：PCT/US2020/037829
申请日：2020-06-16
申请人： MICROSOFT TECHNOLOGY LICENSING, LLC
发明人： DIMITRIADIS, Dimitrios Basile , CHEN, Xie , ZENG, Nanshan , SHI, Yu , LU, Liyang
IPC分类号： G10L15/26 , G10L15/22 , G10L15/16 , G06N3/02
摘要： According to some embodiments, a multi-layer speech recognition transcript post processing system may include a data-driven, statistical layer associated with a trained automatic speech recognition model that selects an initial transcript. A rule-based layer may receive the initial transcript from the data-driven, statistical layer and execute at least one pre-determined rule to generate a first modified transcript. A machine learning approach layer may receive the first modified transcript from the rule-based layer and perform a neural model inference to create a second modified transcript. A human editor layer may receive the second modified transcript from the machine learning approach layer along with an adjustment from at least one human editor. The adjustment may create, in some embodiments, a final transcript that may be used to fine-tune the data-driven, statistical layer.

2. 发明申请

WO2017074808A1 SINGLE UNIFIED RANKER 审中-公开
标题翻译：单一统一的排名
公开(公告)号：WO2017074808A1
公开(公告)日：2017-05-04
申请号：PCT/US2016/058101
申请日：2016-10-21
申请人： MICROSOFT TECHNOLOGY LICENSING, LLC
发明人： MALIK, Manish , KE, Qifa , MAJUMDER, Rangan , BODE, Andreas , SHUKLA, Pushpraj , SHI, Yu
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30528 , G06F17/30554 , G06F17/30864
摘要： Non-limiting examples of the present disclosure describe a unified ranking model that may be used by a plurality of entry points to return ranked results in response to received query data. The unified ranking model is provided as a service for a plurality of entry points. A query is received from an entry point of the plurality of entry points. Results data for the query data is retrieved. A unified ranking model is executed to rank the results data. Execution of the unified ranking model manipulates feature data of the unified ranking model based on user context signals associated with the received query data and acquired result retrieval signals corresponding with the retrieved results data. Execution of the unified ranking model generates ranked result data. Ranked results data is returned to the processing device corresponding with the entry point. Other examples are also described.
摘要翻译：本公开的非限制性示例描述可响应于接收到的查询数据由多个入口点使用以返回经排名的结果的统一排名模型。统一排名模型作为针对多个入口点的服务来提供。从多个入口点的入口点接收查询。查询数据的结果数据被检索。执行统一的排名模型以对结果数据进行排名。统一排名模型的执行基于与接收到的查询数据相关联的用户上下文信号和获取的与检索结果数据相对应的结果检索信号来操纵统一排名模型的特征数据。统一排名模型的执行生成排名结果数据。排名结果数据被返回到与入口点对应的处理设备。还介绍了其他示例。

3. 发明申请

WO2017218243A2 INTENT RECOGNITION AND EMOTIONAL TEXT-TO-SPEECH LEARNING SYSTEM 审中-公开
标题翻译：特征识别和情感语音学习系统
公开(公告)号：WO2017218243A2
公开(公告)日：2017-12-21
申请号：PCT/US2017/036241
申请日：2017-06-07
申请人： MICROSOFT TECHNOLOGY LICENSING, LLC
发明人： ZHAO, Pei , YAO, Kaisheng , LEUNG, Max , YAN, Bo , LUAN, Jian , SHI, Yu , MA, Malone , HWANG, Mei-Yuh
IPC分类号： G10L25/63 , G06F17/27 , G10L15/26
CPC分类号： G10L25/63 , G06F17/2785 , G06N3/0445 , G06N7/005 , G10L15/265
摘要： An example intent-recognition system comprises a processor and memory storing instructions. The instructions cause the processor to receive speech input comprising spoken words. The instructions cause the processor to generate text results based on the speech input and generate acoustic feature annotations based on the speech input. The instructions also cause the processor to apply an intent model to the text result and the acoustic feature annotations to recognize an intent based on the speech input. An example system for adapting an emotional text-to-speech model comprises a processor and memory. The memory stores instructions that cause the processor to receive training examples comprising speech input and receive labelling data comprising emotion information associated with the speech input. The instructions also cause the processor to extract audio signal vectors from the training examples and generate an emotion-adapted voice font model based on the audio signal vectors and the labelling data.
摘要翻译：示例意图识别系统包括存储指令的处理器和存储器。这些指令使处理器接收包括说出的单词的语音输入。指令使处理器基于语音输入生成文本结果并基于语音输入生成声学特征注释。该指令还使得处理器将意图模型应用于文本结果和声学特征注释以基于语音输入来识别意图。用于适应情绪文本到语音模型的示例系统包括处理器和存储器。存储器存储使处理器接收包括语音输入的训练样本并接收包括与语音输入相关联的情绪信息的标签数据的指令。该指令还使得处理器从训练示例中提取音频信号矢量，并且基于音频信号矢量和标记数据生成情绪适应的语音字体模型。

4. 发明申请

WO2017218243A3 INTENT RECOGNITION AND EMOTIONAL TEXT-TO-SPEECH LEARNING SYSTEM 审中-公开
公开(公告)号：WO2017218243A3
公开(公告)日：2017-12-21
申请号：PCT/US2017/036241
申请日：2017-06-07
申请人： MICROSOFT TECHNOLOGY LICENSING, LLC
发明人： ZHAO, Pei , YAO, Kaisheng , LEUNG, Max , YAN, Bo , LUAN, Jian , SHI, Yu , MA, Malone , HWANG, Mei-Yuh
IPC分类号： G10L25/63 , G06F17/27 , G10L15/26
摘要： An example intent-recognition system comprises a processor and memory storing instructions. The instructions cause the processor to receive speech input comprising spoken words. The instructions cause the processor to generate text results based on the speech input and generate acoustic feature annotations based on the speech input. The instructions also cause the processor to apply an intent model to the text result and the acoustic feature annotations to recognize an intent based on the speech input. An example system for adapting an emotional text-to-speech model comprises a processor and memory. The memory stores instructions that cause the processor to receive training examples comprising speech input and receive labelling data comprising emotion information associated with the speech input. The instructions also cause the processor to extract audio signal vectors from the training examples and generate an emotion-adapted voice font model based on the audio signal vectors and the labelling data.

5. 发明申请

WO2021242399A1 AUTOMATED MEETING MINUTES GENERATOR 审中-公开
公开(公告)号：WO2021242399A1
公开(公告)日：2021-12-02
申请号：PCT/US2021/025286
申请日：2021-04-01
申请人： MICROSOFT TECHNOLOGY LICENSING, LLC
发明人： ZHU, Chenguang , SHI, Yu , HINTHORN, William Isaac , ZENG, Nanshan , XU, Ruochen , LU, Liyang , HUANG, Xuedong
IPC分类号： G10L15/26 , G06F40/211 , G06F40/247 , G06F40/253 , G06F40/56 , H04L12/18 , G06F16/34
摘要： A transcription of audio speech included in electronic content associated with a meeting is created by an ASR model trained on speech-to-text data. The transcription is post-processed by modifying text included in the transcription, for example, by modifying punctuation, grammar, or formatting introduced by the ASR model and by changing or omitting one or more words that were included in both the audio speech and the transcription. After the transcription is post-processed, output based on the post-processed transcription is generated in the form of a meeting summary and/or template.

6. 发明公开

EP3785144A1 SESSION MESSAGE PROCESSING 审中-公开
公开(公告)号：EP3785144A1
公开(公告)日：2021-03-03
申请号：EP19719014.3
申请日：2019-04-06
申请人： Microsoft Technology Licensing, LLC
发明人： CHEN, Ling , SHI, Yu , CHEN, Yining , ZENG, Nanshan , LI, Dong
IPC分类号： G06F17/27

7. 发明公开

EP3469592A2 INTENT RECOGNITION AND EMOTIONAL TEXT-TO-SPEECH LEARNING SYSTEM 有权转让
公开(公告)号：EP3469592A2
公开(公告)日：2019-04-17
申请号：EP17739365.9
申请日：2017-06-07
申请人： Microsoft Technology Licensing, LLC
发明人： ZHAO, Pei , YAO, Kaisheng , LEUNG, Max , YAN, Bo , LUAN, Jian , SHI, Yu , MA, Malone , HWANG, Mei-Yuh
IPC分类号： G10L25/63 , G06F17/27 , G10L15/26

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