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公开(公告)号：US09946511B2
公开(公告)日：2018-04-17
申请号：US14721044
申请日：2015-05-26
Applicant: Google Inc.
Inventor： Ilya Genadevich Gelfenbeyn , Olga Aleksandrovna Gelfenbeyn , Artem Goncharuk , Ilya Andreevich Platonov , Pavel Aleksandrovich Sirotin
IPC: G10L15/00 , G10L15/26 , G10L21/00 , G10L25/00 , G10L21/06 , G10L17/00 , G10L19/12 , G10L19/00 , G10L15/04 , G10L15/18 , G10L15/28 , G10L15/16 , G10L13/08 , G10L13/00 , G06F17/28 , G06F17/20 , G06F17/27 , G06F17/21 , G06F3/16 , G10L15/22 , G10L13/04 , G10L15/06
CPC classification number: G06F3/167 , G10L13/043 , G10L15/063 , G10L15/18 , G10L15/22 , G10L15/265 , G10L2015/0638 , G10L2015/223
Abstract: Provided is a method for user training of an information dialog system. The method may include activating a user input subsystem, receiving a training request entered by the user, converting the training request into text by the user input subsystem, sending the text of the training request obtained as a result of the conversion to a dialog module, processing the text of the training request by the dialog module, forming a response to the training request by the dialog module, and sending the response to the training request to the user. The response to the training request may be formed in a form of one or more of the following: a voice cue, a text, and an action performed by the information dialog system.
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公开(公告)号：US09875741B2
公开(公告)日：2018-01-23
申请号：US14775729
申请日：2013-03-15
Applicant: Google Inc.
Inventor： Ilya Genadevich Gelfenbeyn , Artem Goncharuk , Ilya Andreevich Platonov , Pavel Aleksandrovich Sirotin , Olga Aleksandrovna Gelfenbeyn
CPC classification number: G10L15/32 , G10L15/02 , G10L15/07 , G10L15/22 , G10L2015/088 , G10L2015/223 , G10L2015/228
Abstract: Disclosed are computer-implemented methods and systems for dynamic selection of speech recognition systems for the use in Chat Information Systems (CIS) based on multiple criteria and context of human-machine interaction. Specifically, once a first user audio input is received, it is analyzed so as to locate specific triggers, determine the context of the interaction or predict the subsequent user audio inputs. Based on at least one of these criteria, one of a free-diction recognizer, pattern-based recognizer, address book based recognizer or dynamically created recognizer is selected for recognizing the subsequent user audio input. The methods described herein increase the accuracy of automatic recognition of user voice commands, thereby enhancing overall user experience of using CIS, chat agents and similar digital personal assistant systems.
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公开(公告)号：US09865264B2
公开(公告)日：2018-01-09
申请号：US15154944
申请日：2016-05-14
Applicant: Google, Inc.
Inventor： Ilya Genadevich Gelfenbeyn , Artem Goncharuk , Ilya Andreevich Platonov , Pavel Aleksandrovich Sirotin , Olga Aleksandrovna Gelfenbeyn
CPC classification number: G10L15/32 , G10L15/02 , G10L15/07 , G10L15/22 , G10L2015/088 , G10L2015/223 , G10L2015/228
Abstract: Disclosed are computer-implemented methods and systems for dynamic selection of speech recognition systems for the use in Chat Information Systems (CIS) based on multiple criteria and context of human-machine interaction. Specifically, once a first user audio input is received, it is analyzed so as to locate specific triggers, determine the context of the interaction or predict the subsequent user audio inputs. Based on at least one of these criteria, one of a free-diction recognizer, pattern-based recognizer, address book based recognizer or dynamically created recognizer is selected for recognizing the subsequent user audio input. The methods described herein increase the accuracy of automatic recognition of user voice commands, thereby enhancing overall user experience of using CIS, chat agents and similar digital personal assistant systems.
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