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.

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.

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.

Abstract: A computer-implemented method for generating data regarding a vehicle crash of a vehicle can include receiving, using one or more processors of a mobile computing device within the vehicle, initial sensor data, and determining, using the one or more processors, that the initial sensor data includes sensor data indicating that the vehicle crash has occurred. The method also can include, in response to the determining, receiving additional sensor data for a first amount of time; and generating, using the one or more processors, combined sensor data that (i) is based on the initial sensor data and the additional sensor data and (ii) includes first sensor data corresponding to a first period of time before the vehicle crash of the vehicle and second sensor data corresponding to a second period of time after the vehicle crash of the vehicle. Other embodiments are disclosed.

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.

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.

Abstract: A method includes receiving initial sensor data and additional sensor data; and generating combined sensor data. A computing device includes one or more processors; and one or more memories coupled to the one or more processors, the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a vehicle crash, wherein the instructions when executed on one or more processors cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data.

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.

Abstract: A method includes receiving initial sensor data and additional sensor data; and generating combined sensor data. A computing device for includes one or more processors; and one or more memories coupled to the one or more processors, the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a vehicle crash, wherein the instructions when executed on one or more processors cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data.

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.

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.

Abstract: A method includes receiving initial sensor data and additional sensor data; and generating combined sensor data. A computing device for includes one or more processors; and one or more memories coupled to the one or more processors, the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a vehicle crash, wherein the instructions when executed on one or more processors cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data.

Abstract: A method includes receiving initial sensor data and additional sensor data; and generating combined sensor data. A computing device for includes one or more processors; and one or more memories coupled to the one or more processors, the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a vehicle crash, wherein the instructions when executed on one or more processors cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data.

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.

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.

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.

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.

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.

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.

Abstract: A method includes receiving initial sensor data and additional sensor data; and generating combined sensor data. A computing device for includes one or more processors; and one or more memories coupled to the one or more processors, the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a vehicle crash, wherein the instructions when executed on one or more processors cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data.