Abstract: There is provided a speech dialog system that includes a first microphone, a second microphone, a processor and a memory. The first microphone captures first audio from a first spatial zone, and produces a first audio signal. The second microphone captures second audio from a second spatial zone, and produces a second audio signal. The processor receives the first audio signal and the second audio signal, and the memory contains instructions that control the processor to perform operations of a speech enhancement module, an automatic speech recognition module, and a speech dialog module that performs a zone-dedicated speech dialog.

Abstract: A method, computer program product, and computing system for receiving input information concerning a conversation between a caller and a recipient; processing the input information to assess a fraud-threat-level; defining a targeted response based, at least in part, upon the fraud-threat-level assessed, wherein the targeted response is intended to refine the assessed fraud-threat-level; and effectuating the targeted response.

Abstract: A method, computer program product, and computing system for obtaining calibration information for a three-dimensional space incorporating an ACI system; and processing the calibration information to calibrate the ACI system.

Abstract: A method, computer program product, and computing system for receiving a plurality of predefined beams associated with a microphone array. A plurality of predefined nulls associated with the microphone array may be received. One or more predefined beams from the plurality of predefined beams or one or more predefined nulls from the plurality of predefined nulls may be selected. A microphone array may obtain audio encounter information, via the microphone array, using at least one of the one or more selected beams and the one or more selected nulls.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for collecting web data in order to create diverse language models. A system configured to practice the method first crawls, such as via a crawler operating on a computing device, a set of documents in a network of interconnected devices according to a visitation policy, wherein the visitation policy is configured to focus on novelty regions for a current language model built from previous crawling cycles by crawling documents whose vocabulary considered likely to fill gaps in the current language model. A language model from a previous cycle can be used to guide the creation of a language model in the following cycle. The novelty regions can include documents with high perplexity values over the current language model.

Abstract: A method, computer program product, and computing system for automating an intake process is executed on a computing device and includes prompting a patient to provide encounter information via a virtual assistant during a pre-visit portion of a patient encounter. Encounter information is obtained from the patient in response to the prompting by the virtual assistant.

Abstract: A method, computer program product, and computing system for enabling a user to select a plurality of functional modules from a library of functional modules; enabling the user to arrange the plurality of functional modules to form a conversational application; and effectuating a testing procedure on at least a portion of the conversational application.

Abstract: A method, computer program product, and computing system for initiating a session within an ACI platform; receiving an authentication request from a requester; and authenticating that the requester has the authority to access the ACI platform.

Abstract: A system, method and computer-readable storage device are disclosed signing a voicemail and confirming an identity of the speaker. A method includes receiving a request to verify a speaker associated with a communication to a recipient, receiving first data from the speaker in connection with the communication, accessing second data associated with the speaker to verify the speaker, determining whether a match exists between the first data and the second data to yield a determination, retrieving a communication address of the recipient, generating a notification for the recipient, wherein the notification reports on the determination and transmitting the notification to the recipient at the communication address.

Abstract: A method, computer program product, and computing system for obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information; and processing the encounter information to generate an encounter transcript.

Abstract: A method, computer program product, and computing system for automated clinical documentation is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to generate an encounter transcript. At least a portion of the encounter transcript is processed to populate at least a portion of a medical record associated with the patient encounter.

Abstract: A method, computer program product, and computing system for automating a follow-up process is executed on a computing device and includes prompting a patient to provide encounter information via a virtual assistant during a post-visit portion of a patient encounter. Encounter information is obtained from the patient in response to the prompting by the virtual assistant.

Abstract: Conversation Print: A method, computer program product, and computing system for receiving voice-based content from a third-party. The voice-based content is processed to define a text-based transcript for the voice-based content. The voice-based content is processed to define speech-pattern indicia for the voice-based content. A conversation print for the voice-based content is generated based, at least in part, upon the text-based transcript and the speech-pattern indicia.

Abstract: A method, computer program product, and computing system for defining a conversation print for each of a plurality of known entities, thus defining a plurality of conversation prints. Voice-based content is received from a third-party. The voice-based content is compared to at least one of the plurality of conversation prints to identify the third party.

Abstract: A method, computer program product, and computing system for defining a conversation print for each of a plurality of known fraudsters, thus defining a plurality of fraudster conversation prints. The plurality of fraudster conversation prints is processed to identify one or more fraudster commonalities. A fraudster conversation template is generated based, at least in part, upon the one or more fraudster commonalities.

Abstract: A method, computer program product, and computer system for mapping, by a computing device, an automatic speech recognition output of a conversation to a concept marker and a verbalized version of a value associated with the concept marker based upon, at least in part, the automatic speech recognition output of the conversation. The concept marker and the verbalized version of the value associated with the concept marker may be replaced with a formatted version. A plurality of user selectable format configurations of the formatted version may be provided as a textual output in a user interface.

Abstract: A method, computer program product, and computing system for tracking encounter participants is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information obtained via one or more machine vision systems. The machine vision encounter information is processed to identify one or more humanoid shapes.

Abstract: A neural network embodiment comprises an input layer, an output layer and a filter layer. Each unit of the filter layer receives a filter layer input from a single preceding unit via a respective filter layer input connection. Each filter layer input connection is coupled to a different single preceding unit. The filter layer incentivizes the neural network to learn to produce a target output from the output layer for a given input to the input layer while simultaneously learning weights for each filter layer input connection. The weights learned cause the filter layer to reduce a number of filter layer units that pass respective filter layer inputs as non-zero values. When applied as an initial internal layer between an input layer and an output layer, the filter layer incentivizes the neural network to learn which neural network input features to discard to produce the target output.

Abstract: An original text that is a representation of a narration of a patient encounter provided by a clinician may be received and re-formatted to produce a formatted text. One or more clinical facts may be extracted from the formatted text. A first fact of the clinical facts may be extracted from a first portion of the formatted text, and the first portion of the formatted text may be a formatted version of a first portion of the original text. A linkage may be maintained between the first fact and the first portion of the original text.

Abstract: A method, computer program product, and computing system for monitoring a plurality of conversations within a monitored space to generate a conversation data set; processing the conversation data set using machine learning to: define a system-directed command for an ACI system, and associate one or more conversational contexts with the system-directed command; detecting the occurrence of a specific conversational context within the monitored space, wherein the specific conversational context is included in the one or more conversational contexts associated with the system-directed command; and executing, in whole or in part, functionality associated with the system-directed command in response to detecting the occurrence of the specific conversational context without requiring the utterance of the system-directed command and/or a wake-up word/phrase.