Methods and systems for speech signal processing an interactive speech are described. Digitized audio data comprising a user query from a user is received over a network in association with a user identifier. A protocol associated with the user identifier is accessed. A personalized interaction model associated with the user identifier is accessed. A response is generated using the personalized interaction model and the protocol. The response is audibly reproduced by a voice assistance device.

Systems and methods of monitoring communications channels and automatically providing selective notifications through a network that messages containing useful information, transmitted in the form of voice content, have been received. Keywords are compared with textual data transcribed from voice messages receive on a channel. The textual data and the keywords are compared, and upon identifying a correlation therebetween, a notification is automatically generated that indicates receipt of a given message, the existence of the correlation with the keywords, and an identity of the channel, so that client terminals can receive the message and also receive subsequent or related messages.

Systems and methods of monitoring communications channels and automatically providing selective notifications through a network that messages containing useful information, transmitted in the form of voice content, have been received. Keywords are compared with textual data transcribed from voice messages receive on a channel. The textual data and the keywords are compared, and upon identifying a correlation therebetween, a notification is automatically generated that indicates receipt of a given message, the existence of the correlation with the keywords, and an identity of the channel, so that client terminals can receive the message and also receive subsequent or related messages.

The present disclosure relates to a system, a method, and a product for an artificial intelligence based virtual agent trainer. The system includes a processor in communication with a memory storing instructions. When the processor executes the instructions, the instructions are configured to cause the processor to obtain input data and generate a preliminary set of utterances based on the input data, process the preliminary set of utterances to generate a set of utterance training data, generate a set of conversations based on the set of utterance training data, simulate the set of conversations on a virtual agent to obtain a conversation result, verify an intent and a response based on the conversation result, verify a use case flow and flow hops based on the conversation result, and generate recommendation information and maturity report based on verification results.

The present disclosure relates to a system, a method, and a product for an artificial intelligence based virtual agent trainer. The system includes a processor in communication with a memory storing instructions. When the processor executes the instructions, the instructions are configured to cause the processor to obtain input data and generate a preliminary set of utterances based on the input data, process the preliminary set of utterances to generate a set of utterance training data, generate a set of conversations based on the set of utterance training data, simulate the set of conversations on a virtual agent to obtain a conversation result, verify an intent and a response based on the conversation result, verify a use case flow and flow hops based on the conversation result, and generate recommendation information and maturity report based on verification results.

Methods and systems for speech signal processing an interactive speech are described. Digitized audio data comprising a user query from a user is received over a network in association with a user identifier. A protocol associated with the user identifier is accessed. A personalized interaction model associated with the user identifier is accessed. A response is generated using the personalized interaction model and the protocol. The response is audibly reproduced by a voice assistance device.

Methods and systems for speech signal processing an interactive speech are described. Digitized audio data comprising a user query from a user is received over a network in association with a user identifier. A protocol associated with the user identifier is accessed. A personalized interaction model associated with the user identifier is accessed. A response is generated using the personalized interaction model and the protocol. The response is audibly reproduced by a voice assistance device.

Methods and systems for speech signal processing an interactive speech are described. Digitized audio data comprising a user query from a user is received over a network in association with a user identifier. A protocol associated with the user identifier is accessed. A personalized interaction model associated with the user identifier is accessed. A response is generated using the personalized interaction model and the protocol. The response is audibly reproduced by a voice assistance device.

Methods and systems for speech signal processing an interactive speech are described. Digitized audio data comprising a user query from a user is received over a network in association with a user identifier. A protocol associated with the user identifier is accessed. A personalized interaction model associated with the user identifier is accessed. A response is generated using the personalized interaction model and the protocol. The response is audibly reproduced by a voice assistance device.

A system and method for receiving, using one or more processors, a first conversation; identifying, using the one or more processors, a first set of utterances associated with a first conversation participant and a second set of utterances associated with a second conversation participant; and generating, using the one or more processors, a first image representation of the first conversation, the first image representation of the first conversation visually representing the first set of utterances and second set of utterances, wherein an utterance is visually represented by a first parameter associated with timing of the utterance, a second parameter associated with a number of tokens in the utterance, and a third parameter associated with which conversation participant was a source of the utterance.