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1. 发明授权

US11531807B2 System and method for customized text macros 有权
公开(公告)号：US11531807B2
公开(公告)日：2022-12-20
申请号：US16588897
申请日：2019-09-30
申请人： Nuance Communications, Inc.
发明人： Paul Joseph Vozila , Joel Praveen Pinto , Frank Diehl
IPC分类号： G06F40/169 , G06F40/131 , G16H15/00 , G10L15/26
摘要： A method, computer program product, and computer system for encoding, by a computing device, a transcript and text macros into vector representations. A word by word report may be predicted based upon, at least in part, the encoding. An attention mechanism may be queried based upon, at least in part, a decoder state. An attention distribution may be produced over an encoder output. An interpolation of the encoder output may be produced based upon, at least in part, the attention distribution. The interpolation of the encoder output may be input into a decoder for report modeling that includes text macro location and content.

2. 发明授权

US09330661B2 Accuracy improvement of spoken queries transcription using co-occurrence information 有权
标题翻译：使用同现信息进行语音查询转录的准确性提高
公开(公告)号：US09330661B2
公开(公告)日：2016-05-03
申请号：US14156788
申请日：2014-01-16
申请人： Nuance Communications, Inc.
发明人： Jonathan Mamou , Abhinav Sethy , Bhuvana Ramabhadran , Ron Hoory , Paul Joseph Vozila , Nathan Bodenstab
IPC分类号： G10L15/00 , G10L15/16 , G10L15/20 , G10L15/06 , G10L15/26 , G10L15/04 , G10L15/14 , G10L15/28 , G10L15/18 , G10L21/00 , G10L25/00 , G10L15/08 , G06F7/00 , G06F17/30
CPC分类号： G10L15/08 , G06F7/00 , G06F17/30 , G10L15/1815 , G10L15/265
摘要： Techniques disclosed herein include systems and methods for voice-enabled searching. Techniques include a co-occurrence based approach to improve accuracy of the 1-best hypothesis for non-phrase voice queries, as well as for phrased voice queries. A co-occurrence model is used in addition to a statistical natural language model and acoustic model to recognize spoken queries, such as spoken queries for searching a search engine. Given an utterance and an associated list of automated speech recognition n-best hypotheses, the system rescores the different hypotheses using co-occurrence information. For each hypothesis, the system estimates a frequency of co-occurrence within web documents. Combined scores from a speech recognizer and a co-occurrence engine can be combined to select a best hypothesis with a lower word error rate.
摘要翻译：本文公开的技术包括用于支持语音的搜索的系统和方法。技术包括基于共现的方法，以提高非短语语音查询的1最佳假设的准确性，以及用于短语语音查询。使用统计自然语言模型和声学模型来识别口语查询（例如用于搜索搜索引擎的口语查询）的共现模型。给定一个话语和相关的自动语音识别n最佳假设列表，系统使用同现信息重新分辨不同的假设。对于每个假设，系统估计网络文档中共现的频率。来自语音识别器和共现引擎的组合分数可以组合以选择具有较低字错误率的最佳假设。

3. 发明授权

US11270261B2 System and method for concept formatting 有权
公开(公告)号：US11270261B2
公开(公告)日：2022-03-08
申请号：US16270782
申请日：2019-02-08
申请人： Nuance Communications, Inc.
发明人： Paul Joseph Vozila
IPC分类号： G16H15/00 , G10L15/22 , G06Q10/10 , G10L25/51 , G06F3/16 , G10L25/45 , G16H10/20 , G06T7/20 , H04R1/40 , H04R3/00 , G10L15/30 , G16H10/40 , G16H10/60 , G16H50/70 , G10L15/26 , G06F40/30 , G06F40/117
摘要： A method, computer program product, and computer system for mapping, by a computing device, an automatic speech recognition output of a conversation to a concept marker and a verbalized version of a value associated with the concept marker based upon, at least in part, the automatic speech recognition output of the conversation. The concept marker and the verbalized version of the value associated with the concept marker may be replaced with a formatted version. A plurality of user selectable format configurations of the formatted version may be provided as a textual output in a user interface.

4. 发明授权

US11250855B1 Ambient cooperative intelligence system and method 有权
公开(公告)号：US11250855B1
公开(公告)日：2022-02-15
申请号：US17133199
申请日：2020-12-23
申请人： Nuance Communications, Inc.
发明人： Paul Joseph Vozila , Neal Snider
IPC分类号： G10L15/22 , G06N20/00 , G10L15/18 , G10L15/08
摘要： A method, computer program product, and computing system for monitoring a plurality of conversations within a monitored space to generate a conversation data set; processing the conversation data set using machine learning to: define a system-directed command for an ACI system, and associate one or more conversational contexts with the system-directed command; detecting the occurrence of a specific conversational context within the monitored space, wherein the specific conversational context is included in the one or more conversational contexts associated with the system-directed command; and executing, in whole or in part, functionality associated with the system-directed command in response to detecting the occurrence of the specific conversational context without requiring the utterance of the system-directed command and/or a wake-up word/phrase.

5. 发明申请

US20210210200A1 Automated Clinical Documentation System and Method 有权
公开(公告)号：US20210210200A1
公开(公告)日：2021-07-08
申请号：US17210262
申请日：2021-03-23
申请人： Nuance Communications, Inc.
发明人： GUIDO REMI MARCEL GALLOPYN , Dushyant Sharma , Daniel Paulino Almendro Barreda , Patrick A. Naylor , Paul Joseph Vozila , Brian W. Delaney , Neal Snider , Joel Praveen Pinto , Miguel Enrique Ruiz , Yi Zhang , Donald E. Owen
IPC分类号： G16H40/20 , G06Q30/02 , G16H10/60 , G07C9/00 , G06F40/35
摘要： A computer-implemented method, computer program product, and computing system for monitoring a plurality of encounter participants is executed on a computing device and includes obtaining encounter information of a user encounter. The encounter information is processed to: associate at least a first portion of the encounter information with at least one known encounter participant, and associate at least a second portion of the encounter information with at least one unknown encounter participant.
A computer-implemented method, computer program product, and computing system for populating records via semantic frames is executed on a computing device and includes obtaining encounter information of a user encounter. The encounter information is processed to generate an encounter transcript. At least one semantic frame is generated based, at least in part, upon at least one portion of the encounter transcript, wherein the at least one semantic frame defines an abstract meaning for the at least one portion of the encounter transcript.
A mixed-media ACD device is configured to monitor one or more encounter participants of a user encounter and includes a machine vision system configured to obtain machine vision encounter information concerning the user encounter. An audio recording system is configured to obtain audio encounter information concerning the user encounter, wherein the audio recording system includes a plurality of discrete audio acquisition devices.
A computer-implemented method, computer program product, and computing system for tracking encounter participants is executed on a computing device and includes obtaining encounter information of a user encounter, wherein the encounter information includes machine vision encounter information obtained via one or more machine vision systems. The machine vision encounter information is processed to identify one or more humanoid shapes.

6. 发明申请

US20230092558A1 AUTOMATED CLINICAL DOCUMENTATION SYSTEM AND METHOD 有权
公开(公告)号：US20230092558A1
公开(公告)日：2023-03-23
申请号：US17991234
申请日：2022-11-21
申请人： Nuance Communications, Inc.
发明人： Paul Joseph Vozila , Joel Praveen Pinto , Kumar Abhinav , Haibo Li , Marilisa Amoia , Frank Diehl
IPC分类号： G16H15/00 , G16H10/60
摘要： A method, computer program product, and computing system for: receiving an initial portion of an encounter record; processing the initial portion of the encounter record to generate initial content for a medical report; receiving one or more additional portions of the encounter record; and processing the one or more additional portions of the encounter record to modify the medical report.

7. 发明申请

US20220139516A1 Ambient Clinical Intelligence System and Method 有权
公开(公告)号：US20220139516A1
公开(公告)日：2022-05-05
申请号：US17577419
申请日：2022-01-18
申请人： Nuance Communications, Inc.
发明人： Donald E. Owen , Guido Remi Marcel Gallopyn , Paul Joseph Vozila , Mehmet Mert Öz , Matthieu Hebert
IPC分类号： G16H15/00 , G10L15/26 , G16H40/20 , G16H10/60 , G06V20/40
摘要： A method, computer program product, and computing system for obtaining encounter information during a patient encounter; processing the encounter information to detect the execution of a physical event during the patient encounter, thus defining a detected physical event; and deriving information for the detected physical event.

8. 发明申请

US20190272147A1 SYSTEM AND METHOD FOR REVIEW OF AUTOMATED CLINICAL DOCUMENTATION 审中-公开
公开(公告)号：US20190272147A1
公开(公告)日：2019-09-05
申请号：US16292895
申请日：2019-03-05
申请人： Nuance Communications, Inc,
发明人： Paul Joseph Vozila , Guido Remi Marcel Gallopyn , Uwe Helmut Jost , Matthias Helletzgruber , Jeremy Martin Jancsary , Kumar Abhinav , Joel Praveen Pinto , Donald E. Owen , Mehmet Mert Öz
IPC分类号： G06F3/16 , G16H10/20 , G16H15/00 , G06F17/24 , G06F3/0482
摘要： A method, computer program product, and computing system for obtaining, by a computing device, encounter information of a patient encounter, wherein the encounter information may include audio encounter information obtained from at least a first encounter participant. The audio encounter information obtained from at least the first encounter participant may be processed. A user interface may be generated displaying a plurality of layers associated with the audio encounter information obtained from at least the first encounter participant.

9. 发明申请

US20220398474A1 System and Method for Contextual Density Ratio-based Biasing of Sequence-to-Sequence Processing Systems 有权
公开(公告)号：US20220398474A1
公开(公告)日：2022-12-15
申请号：US17539271
申请日：2021-12-01
申请人： Nuance Communications, Inc.
发明人： Jesus Andres Ferrer , Paul Joseph Vozila , Dario Albesano
IPC分类号： G06N7/00
摘要： A method, computer program product, and computer system for processing one or more portions of an input sequence to generate one or more candidate output sequences, thus defining a plurality of prediction scores for the candidate output sequences. One or more specialized entities may be identified from the candidate output sequences. A first scoring methodology may be applied on the candidate output sequences based upon the portions of the input sequence, thus defining a first set of prediction scores for the one or more candidate output sequences. A second scoring methodology may be applied on the specialized entities from the candidate output sequences based upon the portions of the input sequence, thus defining a second set of prediction scores for the specialized entities. The plurality of predictions scores for the specialized entities may be at least partially modified based upon the first set and the second set of prediction scores.

10. 发明申请

US20220199082A1 AMBIENT COOPERATIVE INTELLIGENCE SYSTEM AND METHOD 有权
公开(公告)号：US20220199082A1
公开(公告)日：2022-06-23
申请号：US17592353
申请日：2022-02-03
申请人： Nuance Communications, Inc.
发明人： Paul Joseph Vozila , Neal Snider
IPC分类号： G10L15/22 , G06N20/00 , G10L15/18
摘要： A method, computer program product, and computing system for monitoring a plurality of conversations within a monitored space to generate a conversation data set; processing the conversation data set using machine learning to: define a system-directed command for an ACI system, and associate one or more conversational contexts with the system-directed command; detecting the occurrence of a specific conversational context within the monitored space, wherein the specific conversational context is included in the one or more conversational contexts associated with the system-directed command; and executing, in whole or in part, functionality associated with the system-directed command in response to detecting the occurrence of the specific conversational context without requiring the utterance of the system-directed command and/or a wake-up word/phrase.

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