Abstract: A method, computer program product, and computing system for receiving audio encounter information from a microphone array. Speech activity within one or more portions of the audio encounter information may be identified based upon, at least in part, a correlation among the audio encounter information received from the microphone array. Location information for the one or more portions of the audio encounter information may be determined based upon, at least in part, the correlation among the signals received by each microphone of the microphone array. The one or more portions of the audio encounter information may be labeled with the speech activity and the location information.

Abstract: Methods, apparatuses, and computer program products are described for aggregating user sessions for conversational exchanges using a virtual assistant. A user device can receive conversational inputs, convert the conversational inputs into textual strings, associate, based upon semantic analysis of different portions of the textual strings, a first network and a second network, and initiate, respectively, a first and second user session with a first response module of the first network and a second response module of the second network. The portions of textual strings can be transmitted to the first and second response modules via, respectively, the first and second user sessions. Once response fragments are received from the first and second response modules, the response fragments can be combined in a semantically suitable order to form a generated response.

Abstract: A method, computer program product, and computing system for receiving feature-based voice data associated with a first acoustic domain. One or more audio feature-based augmentations may be performed on at least a portion of the feature-based voice data. Performing the one or more audio feature-based augmentations may include adding one or more audio features to the at least a portion of the feature-based voice data and/or removing one or more audio features from the at least a portion of the feature-based voice data.

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 feature-based voice data associated with a first acoustic domain. One or more gain-based augmentations may be performed on at least a portion of the feature-based voice data, thus defining gain-augmented feature-based voice data.

Abstract: A method, computer program product, and computing system for receiving feature-based voice data associated with a first acoustic domain. One or more rate-based augmentations may be performed on at least a portion of the feature-based voice data, thus defining rate-based augmented feature-based voice data.

Abstract: A method, computer program product, and computing system for extracting acoustic metadata from a signal. The signal may be converted from the time domain to the feature domain, thus defining feature-based voice data associated with the signal. The feature-based voice data associated with the signal may be processed based upon, at least in part, the acoustic metadata.

Abstract: A method, computer program product, and computing system for generating a three-dimensional model of at least a portion of a three-dimensional space incorporating an ACI system via a video recording subsystem of an ACI calibration platform; and generating one or more audio calibration signals for receipt by an audio recording system included within the ACI system via an audio generation subsystem of the ACI calibration platform.

Abstract: A method, computer program product, and computing system for receiving feature-based voice data associated with a first acoustic domain. One or more reverberation-based augmentations may be performed on at least a portion of the feature-based voice data, thus defining reverberation-augmented feature-based voice data.

Abstract: A method, computer program product, and computing system for receiving feature-based voice data. One or more data augmentation characteristics may be received. One or more augmentations of the feature-based voice data may be generated, via a machine learning model, based upon, at least in part, the feature-based voice data and the one or more data augmentation characteristics.

Abstract: Methods, apparatus, and computer program products directed to the multi-mode delivery of documents are provided. Example embodiments implement the transformation and delivery of data objects for use in connection with parallel delivery topologies and pathways to overcome technical challenges associated with the accuracy, reliability, scalability, and efficiency of conventional document delivery approaches.

Abstract: A method, computer program product, and computing system for monitoring a plurality of encounter participants is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to: associate at least a first portion of the encounter information with at least one known encounter participant, and associate at least a second portion of the encounter information with at least one unknown encounter participant.

Abstract: A computer-implemented method, computer program product, and computing system for rendering content is executed on a computing device and includes receiving a request to render content during a user encounter. If it is determined that the content includes sensitive content, a complete version of the content is rendered on a first device (wherein the complete version of the content includes the sensitive content) and a limited version of the content on a second device (wherein the limited version of the content excludes the sensitive content). A modular ACD system is configured to automate clinical documentation and includes a machine vision system configured to obtain machine vision encounter information concerning a user encounter. An audio recording system is configured to obtain audio encounter information concerning the user encounter. A compute system is configured to receive the machine vision encounter information and the audio encounter information.

Abstract: A method, computer program product, and computing system for source separation is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes first audio encounter information obtained from a first encounter participant and at least a second audio encounter information obtained from at least a second encounter participant. The first audio encounter information and the at least a second audio encounter information are processed to eliminate audio interference between the first audio encounter information and the at least a second audio encounter information.

Abstract: A method, computer program product, and computing system for synchronizing machine vision and audio is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information and audio encounter information. The machine vision encounter information and the audio encounter information are temporally-aligned to produce a temporarily-aligned encounter recording.

Abstract: A computer-implemented method, computer program product, and computing system for monitoring a plurality of encounter participants is executed on a computing device and includes obtaining encounter information of a user encounter. The encounter information is processed to: associate at least a first portion of the encounter information with at least one known encounter participant, and associate at least a second portion of the encounter information with at least one unknown encounter participant. A computer-implemented method, computer program product, and computing system for populating records via semantic frames is executed on a computing device and includes obtaining encounter information of a user encounter. The encounter information is processed to generate an encounter transcript.

Abstract: A method, computer program product, and computer system for measuring, by a computing device, a plurality of Room Impulse Responses (RIRs) associated with a set of two or more microphones. At least a portion of the RIRs may be augmented. At least the portion of the RIRs may be converted to their respective Relative Transfer Function (RTF) representations. The RTF representations may be applied to training data to generate an acoustic model for automatic speech recognition.

Abstract: A mixed-media ACD device is configured to monitor one or more encounter participants of a patient encounter and includes a machine vision system configured to obtain machine vision encounter information concerning the patient encounter. An audio recording system is configured to obtain audio encounter information concerning the patient encounter, wherein the audio recording system includes a plurality of discrete audio acquisition devices.

Abstract: A method, computer program product, and computing system for synchronizing machine vision and audio is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information and audio encounter information. The machine vision encounter information and the audio encounter information are temporally-aligned to produce a temporarily-aligned encounter recording.

Abstract: Methods, apparatuses, and computer program products are described for presenting an interactive audio-visual presentation of transaction documents. A method can include receiving a bill associated with a payor and payee, using a textual language processor or the like to identify content fields from the bill and assign markups and/or metadata to content fields, and using the content fields, markups, and/or metadata to generate an audio-visual presentation associated with the bill. This audio-visual presentation can be presented to the payor. The payee may then interact with the audio-visual presentation, for instance by verbal, visual, manual, or textual response. A verbal language processing engine, natural language processing engine, audio-visual language processing engine, or visual-manual language processing engine can be initiated to facilitate interpretation of the payee response and generate a further audio-visual presentation.