A system and method for lowering probability that low data rates, high bit error rates, and susceptibility to signal degradation in communication environments during storms, solar activity, and adversarial activity is disclosed. The system and method affect communications by minimizing the amount of data/information that needs to be transmitted, partly by creating an algorithmic process/method that moves knowledge and not data and information. The system and method is based upon the realization that structured communications often possess a similar level of context that can be exploited to communicate full meaning (knowledge), even when only a small fraction of the message is transmitted to the receiver. Reducing the number of bytes transmitted significantly reduces the probability that a transmission will be affected by either naturally occurring or human supplied factors present in modern communication environments.

A system and method for lowering probability that low data rates, high bit error rates, and susceptibility to signal degradation in communication environments during storms, solar activity, and adversarial activity is disclosed. The system and method affect communications by minimizing the amount of data/information that needs to be transmitted, partly by creating an algorithmic process/method that moves knowledge and not data and information. The system and method is based upon the realization that structured communications often possess a similar level of context that can be exploited to communicate full meaning (knowledge), even when only a small fraction of the message is transmitted to the receiver. Reducing the number of bytes transmitted significantly reduces the probability that a transmission will be affected by either naturally occurring or human supplied factors present in modern communication environments.

The present disclosure discloses a method, apparatus, system and electronic device for processing information and storage medium, relates to artificial intelligence technology fields such as speech recognition, speech synthesis and natural language processing. An implementation solution is: receiving audio data of a corresponding role sent by each client, and determining a role identifier of each of the audio data and starting time of each of the audio data; converting each of the received audio data to generate each text information; performing merging operation, in response to receiving a merging operation instruction and not meeting a merging stop condition, on all text information to generate each first text; and performing integration operation, in response to meeting the merging stop condition, on each of the first text to generate a second text corresponding to each of the first text.

The present disclosure discloses a method, apparatus, system and electronic device for processing information and storage medium, relates to artificial intelligence technology fields such as speech recognition, speech synthesis and natural language processing. An implementation solution is: receiving audio data of a corresponding role sent by each client, and determining a role identifier of each of the audio data and starting time of each of the audio data; converting each of the received audio data to generate each text information; performing merging operation, in response to receiving a merging operation instruction and not meeting a merging stop condition, on all text information to generate each first text; and performing integration operation, in response to meeting the merging stop condition, on each of the first text to generate a second text corresponding to each of the first text.

Provided are systems and methods for providing insights to users of a mobile application based on triggers that may be detected from within the data or externally. In one example, a method may include receiving, via a message transmitted to a uniform resource locator (URL) of a host platform, information about a user of a software application, reading a plurality of records associated with the user from the received information, the plurality of records comprising data and a plurality of timestamps, respectively, generating derived data based on the data included in the plurality of records, converting the plurality of timestamps into a single timing identifier that represents all of the plurality of timestamps, and transmitting, to a computing system, a notification comprising the derived data and the new timing identifier.

Provided are systems and methods for providing insights to users of a mobile application based on triggers that may be detected from within the data or externally. In one example, a method may include receiving, via a message transmitted to a uniform resource locator (URL) of a host platform, information about a user of a software application, reading a plurality of records associated with the user from the received information, the plurality of records comprising data and a plurality of timestamps, respectively, generating derived data based on the data included in the plurality of records, converting the plurality of timestamps into a single timing identifier that represents all of the plurality of timestamps, and transmitting, to a computing system, a notification comprising the derived data and the new timing identifier.

Data is organized in a hierarchical data tree having nodes, and is formatted in human-readable data according to a schema. The data is canonically ordered in correspondence with a canonical ordering of a schema dictionary generated from the schema. The canonically ordered data is encoded into binary, including for each node, removing a label of the node, and adding a sequence number of the node corresponding to the canonical ordering, in binary.

Data is organized in a hierarchical data tree having nodes, and is formatted in human-readable data according to a schema. The data is canonically ordered in correspondence with a canonical ordering of a schema dictionary generated from the schema. The canonically ordered data is encoded into binary, including for each node, removing a label of the node, and adding a sequence number of the node corresponding to the canonical ordering, in binary.

An apparatus takes text from a speech recognition device and converts this text into a smooth rolling presentation of text. The aspects of the disclosed embodiments are suited for use in a closed caption presentation of text. The user sees a smooth rolling presentation of text. Generally, a full screen of text, or 9-10 lines of text, can be presented in a smooth, rolling manner, without interruptions or pauses. There are no bursts of text, that might otherwise be realized with conventional devices. The rate of delivery of the text can be adjusted to match the rate of the speaker.

An apparatus takes text from a speech recognition device and converts this text into a smooth rolling presentation of text. The aspects of the disclosed embodiments are suited for use in a closed caption presentation of text. The user sees a smooth rolling presentation of text. Generally, a full screen of text, or 9-10 lines of text, can be presented in a smooth, rolling manner, without interruptions or pauses. There are no bursts of text, that might otherwise be realized with conventional devices. The rate of delivery of the text can be adjusted to match the rate of the speaker.