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41. 发明申请

US20190026494A1 AUTOMATED OBSCURING SYSTEM AND METHOD 审中-公开
公开(公告)号：US20190026494A1
公开(公告)日：2019-01-24
申请号：US16038726
申请日：2018-07-18
申请人： Nuance Communications, Inc.
发明人： KENNETH WILLIAM DOUGLAS SMITH , Uwe Helmut Jost , Jean-Guy Elie Dahan , Fabrizio Lussana , Vittorio Manzone , David Copp
IPC分类号： G06F21/62 , G06F11/30
摘要： A method, computer program product, and computing system for receiving content from a third-party; processing the content to predict the disclosure of sensitive information; and obscuring the sensitive information from a platform user.

42. 发明申请

US20170278527A1 CHARACTERIZING, SELECTING AND ADAPTING AUDIO AND ACOUSTIC TRAINING DATA FOR AUTOMATIC SPEECH RECOGNITION SYSTEMS 有权
公开(公告)号：US20170278527A1
公开(公告)日：2017-09-28
申请号：US15082349
申请日：2016-03-28
申请人： Nuance Communications, Inc.
发明人： Dushyant Sharma , Patrick Naylor , Uwe Helmut Jost
IPC分类号： G10L25/30 , G10L19/06 , G10L15/06 , G10L19/00
CPC分类号： G10L25/30 , G10L15/063 , G10L15/065 , G10L15/20 , G10L19/0018 , G10L19/06 , G10L21/003 , G10L2015/0631
摘要： A system for and method of characterizing a target application acoustic domain analyzes one or more speech data samples from the target application acoustic domain to determine one or more target acoustic characteristics, including a CODEC type and bit-rate associated with the speech data samples. The determined target acoustic characteristics may also include other aspects of the target speech data samples such as sampling frequency, active bandwidth, noise level, reverberation level, clipping level, and speaking rate. The determined target acoustic characteristics are stored in a memory as a target acoustic data profile. The data profile may be used to select and/or modify one or more out of domain speech samples based on the one or more target acoustic characteristics.

43. 发明授权

US09099091B2 Method and apparatus of adaptive textual prediction of voice data 有权
标题翻译：语音数据自适应文本预测的方法和装置
公开(公告)号：US09099091B2
公开(公告)日：2015-08-04
申请号：US13746847
申请日：2013-01-22
申请人： Nuance Communications, Inc.
发明人： Diven Topiwala , Uwe Helmut Jost , Lisa Meredith , Daniel Almendro Barreda
IPC分类号： G10L15/32 , G10L15/26 , G10L15/22 , G10L15/08 , G10L15/183
CPC分类号： G10L15/26 , G10L15/083 , G10L15/183 , G10L15/32 , G10L2015/227
摘要： Typical textual prediction of voice data employs a predefined implementation arrangement of a single or multiple prediction sources. Using a predefined implementation arrangement of the prediction sources may not provide a good prediction performance in a consistent manner with variations in voice data quality. Prediction performance may be improved by employing adaptive textual prediction. According to at least one embodiment determining a configuration of a plurality of prediction sources, used for textual interpretation of the voice data, is determined based at least in part on one or more features associated with the voice data or one or more a-priori interpretations of the voice data. A textual output prediction of the voice data is then generated using the plurality of prediction sources according to the determined configuration. Employing an adaptive configuration of the text prediction sources facilitates providing more accurate text transcripts of the voice data.
摘要翻译：语音数据的典型文本预测采用单个或多个预测源的预定义的实现布置。使用预测源的预定义的实现布置可能不能以与语音数据质量的变化一致的方式提供良好的预测性能。通过采用自适应文本预测可以提高预测性能。根据至少一个实施例，至少部分地基于与语音数据相关联的一个或多个特征或一个或多个先验解释来确定用于语音数据的文本解释的多个预测源的配置，的语音数据。然后根据所确定的配置，使用多个预测源生成语音数据的文本输出预测。采用文本预测源的自适应配置有助于提供语音数据的更准确的文本转录。

44. 发明申请

US20140278425A1 DATA SHREDDING FOR SPEECH RECOGNITION LANGUAGE MODEL TRAINING UNDER DATA RETENTION RESTRICTIONS 有权
标题翻译：数据保留限制下的语音识别语言模式培训的数据删除
公开(公告)号：US20140278425A1
公开(公告)日：2014-09-18
申请号：US13800738
申请日：2013-03-13
申请人： NUANCE COMMUNICATIONS, INC.
发明人： Uwe Helmut Jost , Philip Charles Woodland , Marcel Katz , Syed Raza Shahid , Paul J. Vozila , William F. Ganong, III
IPC分类号： G10L15/06
CPC分类号： G10L15/063 , G10L15/183
摘要： Training speech recognizers, e.g., their language or acoustic models, using actual user data is useful, but retaining personally identifiable information may be restricted in certain environments due to regulations. Accordingly, a method or system is provided for enabling training of a language model which includes producing segments of text in a text corpus and counts corresponding to the segments of text, the text corpus being in a depersonalized state. The method further includes enabling a system to train a language model using the segments of text in the depersonalized state and the counts. Because the data is depersonalized, actual data may be used, enabling speech recognizers to keep up-to-date with user trends in speech and usage, among other benefits.
摘要翻译：使用实际的用户数据来训练语音识别器，例如他们的语言或声学模型是有用的，但是在某些环境中保留个人身份信息可能受到法规的限制。因此，提供了一种能够训练语言模型的方法或系统，该语言模型包括在文本语料库中产生文本段，并且对应于文本段的计数，文本语料库处于非人格化状态。该方法还包括使系统能够使用非人格化状态的文本段和计数来训练语言模型。因为数据是非人格化的，所以可以使用实际的数据，使得语音识别器可以随时掌握用户在语音和使用方面的趋势等等。

45. 发明授权

US11853691B2 Automated clinical documentation system and method 有权
公开(公告)号：US11853691B2
公开(公告)日：2023-12-26
申请号：US17210052
申请日：2021-03-23
申请人： Nuance Communications, Inc.
发明人： Donald E. Owen , Uwe Helmut Jost , Daniel Paulino Almendro Barreda , Dushyant Sharma
IPC分类号： G16H10/60 , A61B5/00 , G06F3/16 , G06F16/635 , G06F16/683 , G06F16/904 , G06F21/62 , G06F40/174 , G06F40/30 , G06F40/40 , G06K9/62 , G06K19/077 , G06N3/00 , G06T7/00 , G06V20/10 , H04R3/12 , G16H40/20 , G10L17/00 , G16Y20/00 , G06V20/52 , G06V40/16 , G06V40/20 , G06V40/10 , H04L51/222 , G06F18/25 , G16H50/30 , G16H80/00 , G16H30/00 , G16H40/63 , H04N7/18 , H04R3/00 , G16H10/20 , H04R1/32 , G16H15/00 , H04L51/02 , G16H40/60 , G16H30/20 , G16H30/40 , G10L21/0232 , G16H50/20 , G06N3/006 , G16B50/00 , G10L15/08 , G11B27/10 , H04R3/02 , G10L15/26 , H04R1/40 , G10L15/22 , G10L21/0208 , G10L15/18
CPC分类号： G16H10/60 , A61B5/7405 , G06F3/16 , G06F16/637 , G06F16/685 , G06F16/904 , G06F18/25 , G06F21/6245 , G06F40/174 , G06F40/30 , G06F40/40 , G06K19/07762 , G06N3/006 , G06T7/00 , G06V20/10 , G06V20/52 , G06V40/103 , G06V40/16 , G06V40/172 , G06V40/23 , G10L15/08 , G10L17/00 , G10L21/0232 , G11B27/10 , G16B50/00 , G16H10/20 , G16H15/00 , G16H30/00 , G16H30/20 , G16H30/40 , G16H40/20 , G16H40/60 , G16H40/63 , G16H50/20 , G16H50/30 , G16H80/00 , G16Y20/00 , H04L51/02 , H04L51/222 , H04N7/183 , H04R1/326 , H04R3/005 , H04R3/12 , G06T2207/10024 , G06T2207/10044 , G06T2207/10048 , G06T2207/10116 , G06T2207/10132 , G10L15/1815 , G10L15/22 , G10L15/26 , G10L2021/02082 , H04N7/181 , H04R1/406 , H04R3/02 , H04R2420/07 , H04S2400/15
摘要： A method, computer program product, and computing system for synchronizing machine vision and audio is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information and audio encounter information. The machine vision encounter information and the audio encounter information are temporally-aligned to produce a temporarily-aligned encounter recording.

46. 发明公开

US20230394169A1 System and Method for Secure Transcription Generation 审中-公开
公开(公告)号：US20230394169A1
公开(公告)日：2023-12-07
申请号：US17832259
申请日：2022-06-03
申请人： Nuance Communications, Inc.
发明人： William F. Ganong, III , Uwe Helmut Jost
IPC分类号： G06F21/62 , G10L15/22 , G10L15/08 , G10L13/02 , G10L15/06 , G06F40/295 , G06F40/166 , G06F21/84
CPC分类号： G06F21/6245 , G10L15/22 , G10L15/08 , G10L13/02 , G10L15/063 , G06F40/295 , G06F40/166 , G06F21/84 , G10L2015/088
摘要： A method, computer program product, and computing system for receiving an input speech signal. A transcription of the input speech signal may be received. One or more sensitive content portions may be identified from the transcription of the input speech signal. The one or more sensitive content portions from the transcription of the input speech signal may be obscured, thus defining an obscured transcription of the input speech signal. An obscured speech signal may be generated based upon, at least in part, the input speech signal, the transcription of the input speech signal, and the obscured transcription of the input speech signal.

47. 发明授权

US11482308B2 Automated clinical documentation system and method 有权
公开(公告)号：US11482308B2
公开(公告)日：2022-10-25
申请号：US16058829
申请日：2018-08-08
申请人： Nuance Communications, Inc.
发明人： Donald E. Owen , Uwe Helmut Jost , Daniel Paulino Almendro Barreda , Dushyant Sharma
IPC分类号： G16H10/60 , G16H15/00 , H04R3/12 , G16H40/20 , G06F40/30 , G06F40/40 , G06F40/174 , G10L17/00 , G06F16/683 , G16Y20/00 , G06V20/10 , G06V20/52 , G06V40/16 , G06V40/20 , G06V40/10 , H04L51/222 , G16H50/30 , G16H80/00 , A61B5/00 , G16H30/00 , G16H40/63 , H04N7/18 , H04R3/00 , G16H10/20 , G06T7/00 , H04R1/32 , H04L51/02 , G16H40/60 , G06F21/62 , G06F16/904 , G06F3/16 , G16H30/20 , G06K9/62 , G16H30/40 , G10L21/0232 , G16H50/20 , G06N3/00 , G16B50/00 , G06F16/635 , G06K19/077 , G10L15/08 , G11B27/10 , H04R3/02 , G10L15/26 , H04R1/40 , G10L15/22 , G10L21/0208 , G10L15/18
摘要： A modular ACD system is configured to automate clinical documentation and includes a machine vision system configured to obtain machine vision encounter information concerning a patient encounter. An audio recording system is configured to obtain audio encounter information concerning the patient encounter. A compute system is configured to receive the machine vision encounter information and the audio encounter information.

48. 发明申请

US20220254495A1 Medical Intelligence System and Method 有权
公开(公告)号：US20220254495A1
公开(公告)日：2022-08-11
申请号：US17666798
申请日：2022-02-08
申请人： Nuance Communications, Inc.
发明人： Jeremy Martin Jancsary , Joel Praveen Pinto , Uwe Helmut Jost , William F. Ganong, III
IPC分类号： G16H50/20 , G16H30/40
摘要： A method, computer program product, and computing system for: monitoring a meeting between a patient and a medical entity during a medical encounter; gathering information during the medical encounter, thus generating gathered encounter information, wherein the gathered encounter information includes image-based content of the patient; generating image-based content information via artificial intelligence, wherein the image-based content information is based at least in part upon the image-based content and/or the gathered encounter information and is configured to provide guidance to the medical entity concerning the image-based content; and providing the image-based content information to the medical entity.

49. 发明申请

US20220254359A1 MULTI-CHANNEL SPEECH COMPRESSION SYSTEM AND METHOD 有权
公开(公告)号：US20220254359A1
公开(公告)日：2022-08-11
申请号：US17669574
申请日：2022-02-11
申请人： Nuance Communications, Inc.
发明人： Dushyant Sharma , Patrick A. Naylor , Uwe Helmut Jost
IPC分类号： G10L19/008 , G10L19/16 , G10L21/0208
摘要： A method, computer program product, and computing system for generating a plurality of acoustic relative transfer functions for a plurality of audio acquisition devices of an audio recording system deployed in an acoustic environment. The plurality of acoustic relative transfer functions may be encoded into a first embedding of acoustic relative transfer functions and at least a second embedding of acoustic relative transfer functions. Information may be extracted from at least the first embedding of acoustic relative transfer functions.

50. 发明申请

US20220254357A1 MULTI-CHANNEL SPEECH COMPRESSION SYSTEM AND METHOD 有权
公开(公告)号：US20220254357A1
公开(公告)日：2022-08-11
申请号：US17669560
申请日：2022-02-11
申请人： Nuance Communications, Inc.
发明人： Dushyant Sharma , Patrick A. Naylor , Uwe Helmut Jost
IPC分类号： G10L19/008 , G10L19/16 , G10L21/0208 , G10L15/06
摘要： A method, computer program product, and computing system for generating a plurality of acoustic relative transfer functions associated with a plurality of audio acquisition devices of an audio recording system deployed in an acoustic environment. Acoustic relative transfer functions of at least a pair of audio acquisition devices of the plurality of audio acquisition devices may be compared. Location information associated with an acoustic source within the acoustic environment may be determined based upon, at least in part, the comparison of the acoustic relative transfer functions of the at least a pair of audio acquisition devices of the plurality of audio acquisition devices.

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