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公开(公告)号：US12155794B2
公开(公告)日：2024-11-26
申请号：US17870062
申请日：2022-07-21
Inventor： Duane Lee Marzinzik , Eric R. Moore , Gregory D. Carter , Harsh Lalwani , Matthew Mifflin , Padmaja Uppaluri , Ryan Jewell , Richard J. Lovings
IPC: H04M3/493 , G06F3/16 , G06F40/35 , G10L15/04 , G10L15/18 , G10L15/183 , G10L15/22 , G10L15/26 , G10L15/30 , G10L25/63 , H04L51/52 , H04M3/42
Abstract: In a method for handling out-of-sequence caller dialog, an intelligent voice interface is configured to lead callers through pathways of an algorithmic dialog that includes available voice prompts for requesting different types of caller information. The method may include, during a voice communication with a caller via a caller device, receiving from the caller device caller input data indicative of a voice input of the caller, without having first provided to the caller device any voice prompt that requests a first type of caller information, and determining, by processing the caller input data, that the voice input includes caller information of the first type. The method also includes after determining that the voice input includes the caller information of the first type, bypassing one or more voice prompts, of the available voice prompts, that request the first type of caller information.
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公开(公告)号：US20240330148A1
公开(公告)日：2024-10-03
申请号：US18220537
申请日：2023-07-11
Inventor： Chris Piwinsky , Ryan Chambers , Chenxi YU , Ryan Jewell , Sean Harmon
CPC classification number: G06F11/3612 , G06F8/20
Abstract: Techniques are described for predicting resiliency of software applications. Techniques provide for obtaining one or more software construction variables, software operation variables, and an error rate associated with a first software application. This includes training a machine learning model to predict a resiliency of a particular software application using the software construction variables, the software operation variables, and the error rate for each of the plurality of first software applications. A software construction variable and a software operation variable associated with the second software application are obtained. The trained machine learning model is applied to the software construction variable and the software operation variable associated with the second software application to predict an error rate for the second software application. Then a resiliency for the second software application is determined based upon the predicted error rate and display an indication of the resiliency for the second software application.
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公开(公告)号：US20230032155A1
公开(公告)日：2023-02-02
申请号：US17870067
申请日：2022-07-21
Inventor： Duane Lee Marzinzik , Eric R. Moore , Gregory D. Carter , Harsh Lalwani , Matthew Mifflin , Padmaja Uppaluri , Ryan Jewell , Richard J. Lovings
Abstract: A method provides identification of relevant caller dialog with an intelligent voice interface configured to lead callers through pathways of an algorithmic dialog including available voice prompts. The method may include, during a voice communication with a caller, receiving from the caller device caller input data indicative of a voice input of the caller, and determining, by processing the caller input data, that a first portion of the voice input is intended to convey caller information to the intelligent voice interface, and that a second portion of the voice input is not intended to convey caller information. The method may also include identifying relevant caller information by analyzing the first portion of the voice input without the second portion of the voice input, and storing the relevant caller information in a database and/or selecting a pathway through the algorithmic dialog based upon the relevant caller information.
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4.发明公开公开(公告)号：US20240281706A1
公开(公告)日：2024-08-22
申请号：US18242691
申请日：2023-09-06
Inventor： Duane Lee Marzinzik , Matthew Mifflin , Trystan Bates-Maricle , Ryan Jewell
CPC classification number: G06N20/00 , G06F16/3344 , G10L13/02 , G10L15/063 , G10L15/1815 , G10L15/22 , G10L15/30
Abstract: Techniques for improving automated communication system responses are disclosed herein. An exemplary computer-implemented method may include receiving a user query from a user; and determining, by executing a machine learning (ML) chatbot, a stylistic scheme and a contextual scheme for a response to the user query, wherein the ML chatbot is trained with a plurality of training user queries as inputs to generate a plurality of training responses as outputs. The exemplary computer-implemented method may further include generating, by executing the ML chatbot, the response to the user query that is articulated in accordance with the stylistic scheme and the contextual scheme. The exemplary computer-implemented method may further include causing the response to be conveyed to the user.
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公开(公告)号：US20230036906A1
公开(公告)日：2023-02-02
申请号：US17870084
申请日：2022-07-21
Inventor： Duane Lee Marzinzik , Eric R. Moore , Gregory D. Carter , Harsh Lalwani , Matthew Mifflin , Padmaja Uppaluri , Ryan Jewell , Richard J. Lovings
Abstract: A method for identifying entities may include, during a voice communication with a caller via a caller device, sending to the caller device a first voice prompt that asks the caller to identify a particular entity, receiving from the caller device caller input data indicative of a voice response of the caller, and analyzing the caller input data to determine a set of words spoken by the caller. The method may also include, for each segment of two or more segments of the set of words, determining a level of string matching between the segment and a corresponding segment in a record stored in a database, determining, and based upon the levels of string matching, a level of match certainty for the particular entity from among at least three possible levels of match certainty, and/or selecting, based upon the level of match certainty, a pathway of the algorithmic dialog.
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Patent Agency Ranking
公开(公告)号：US20230025655A1
公开(公告)日：2023-01-26
申请号：US17870081
申请日：2022-07-21
Inventor： Duane Lee Marzinzik , Eric R. Moore , Gregory D. Carter , Harsh Lalwani , Matthew Mifflin , Padmaja Uppaluri , Ryan Jewell , Richard J. Lovings
Abstract: A method for facilitating user interactions with a social network platform may include receiving user input data indicative of a voice input of a user, determining, by processing the user input data using one or more natural language processing models, one or more intents of the user, generating, based upon the one or more intents of the user, one or more voice messages, and/or providing the one or more voice messages to a personal voice assistant configured to communicate with the social network platform.
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公开(公告)号：US20250088590A1
公开(公告)日：2025-03-13
申请号：US18932373
申请日：2024-10-30
Inventor： Duane Lee Marzinzik , Eric R. Moore , Gregory Dwayne Carter , Harsh Lalwani , Matthew Mifflin , Padmaja Uppaluri , Ryan Jewell , Richard J. Lovings
IPC: H04M3/493 , G06F3/16 , G06F40/35 , G10L15/04 , G10L15/18 , G10L15/183 , G10L15/22 , G10L15/26 , G10L15/30 , G10L25/63 , H04L51/52 , H04M3/42
Abstract: In a method for handling out-of-sequence caller dialog, an intelligent voice interface is configured to lead callers through pathways of an algorithmic dialog that includes available voice prompts for requesting different types of caller information. The method may include, during a voice communication with a caller via a caller device, receiving from the caller device caller input data indicative of a voice input of the caller, without having first provided to the caller device any voice prompt that requests a first type of caller information, and determining, by processing the caller input data, that the voice input includes caller information of the first type. The method also includes after determining that the voice input includes the caller information of the first type, bypassing one or more voice prompts, of the available voice prompts, that request the first type of caller information.
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公开(公告)号：US12212712B2
公开(公告)日：2025-01-28
申请号：US17870076
申请日：2022-07-21
Inventor： Duane Lee Marzinzik , Eric R. Moore , Gregory D. Carter , Harsh Lalwani , Matthew Mifflin , Padmaja Uppaluri , Ryan Jewell , Richard J. Lovings
IPC: H04M3/493 , G06F3/16 , G06F40/35 , G10L15/04 , G10L15/18 , G10L15/183 , G10L15/22 , G10L15/26 , G10L15/30 , G10L25/63 , H04L51/52 , H04M3/42
Abstract: A method for facilitating reviews of caller interactions with an intelligent voice interface may include receiving raw voice data representing dialog between one or more callers and the intelligent voice interface during one or more respective voice calls, determining, by processing text translation of the raw voice data using one or more natural language processing models, one or more intents of the one or more callers during the one or more voice calls, generating one or more event labels indicative of one or more events associated with the one or more voice calls, and causing a user interface to be presented on a display device. The user interface may enable a user to (i) listen to the raw voice data, (ii) view the one or more intents, and/or (iii) view the one or more event labels.
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公开(公告)号：US20230040790A1
公开(公告)日：2023-02-09
申请号：US17870071
申请日：2022-07-21
Inventor： Duane Lee Marzinzik , Eric R. Moore , Gregory D. Carter , Harsh Lalwani , Matthew Mifflin , Padmaja Uppaluri , Ryan Jewell , Richard J. Lovings
Abstract: A method for responding to inferred caller states during dialog with an intelligent voice interface configured to lead callers through pathways of an algorithmic dialog may include, during a voice communication with a caller via a caller device, receiving from the caller device caller input data indicative of a voice input of the caller, and determining, by processing the caller input data, an inferred state of the caller. Determining the inferred state of the caller may include analyzing one or more characteristics, other than textual content, of the voice input. The method may also include selecting a pathway through the algorithmic dialog based upon the inferred state of the caller.
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公开(公告)号：US20230028693A1
公开(公告)日：2023-01-26
申请号：US17870062
申请日：2022-07-21
Inventor： Duane Lee Marzinzik , Eric R. Moore , Gregory D. Carter , Harsh Lalwani , Matthew Mifflin , Padmaja Uppaluri , Ryan Jewell , Richard J. Lovings
IPC: H04M3/493 , G10L15/22 , G10L15/183
Abstract: In a method for handling out-of-sequence caller dialog, an intelligent voice interface is configured to lead callers through pathways of an algorithmic dialog that includes available voice prompts for requesting different types of caller information. The method may include, during a voice communication with a caller via a caller device, receiving from the caller device caller input data indicative of a voice input of the caller, without having first provided to the caller device any voice prompt that requests a first type of caller information, and determining, by processing the caller input data, that the voice input includes caller information of the first type. The method also includes after determining that the voice input includes the caller information of the first type, bypassing one or more voice prompts, of the available voice prompts, that request the first type of caller information.
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