A method, computer program product, and computing system for monitoring the diction of a patient within a hospital room; processing at least a portion of the diction to identify at least one bed-control-command to be performed on a hospital bed within the hospital room; and if at least one bed-control-command is detected, effectuating the at least one bed-control-command on the hospital bed within the hospital room.

A method, computer program product, and computing system for monitoring the diction of a prescription recipient using a virtual assistant; processing at least a portion of the diction to identify at least one prescription refill task; and if at least one prescription refill task is detected, effectuating the at least one prescription refill task on a medical management system.

A method, computer program product, and computing system for interfacing a clinical research system with a virtual assistant accessible by a clinical trial participant; providing a clinical research survey to the clinical trial participant via the virtual assistant, wherein the clinical research survey defines one or more questions; and receiving a survey response to the clinical research survey from the clinical trial participant via the virtual assistant, wherein the survey response defines one or more answers to the one or more questions defined within the clinical research survey.

A method, computer program product, and computing system for monitoring a conversation between a professional and a third party; processing at least a portion of the conversation to identify at least one instance of bias; and if at least one instance of bias is detected, implementing at least one remedial task.

A method, computer program product, and computing system for monitoring the diction of a medical specialist using a virtual assistant; processing at least a portion of the diction to identify at least one task to be performed within a medical management system; and if at least one task is detected, effectuating the at least one task on the medical management system.

A method, computer program product, and computing system for monitoring a conversation between a professional and a third party; processing at least a portion of the conversation to identify at least one indicator of depression; and if at least one indicator of depression is detected, implementing at least one remedial task.

A voice user interface (VUI) and methods for operating the VUI are disclosed. In some embodiments, the VUI configured to receive and process linguistic and non-linguistic inputs. For example, the VUI receives an audio signal, and the VUI determines whether the audio input comprises a linguistic and/or a non-linguistic input. In accordance with a determination that the audio signal comprises a non-linguistic input, the VUI causes a system to perform an action associated with the non-linguistic input.

The invention relates to a computer-implemented method of obtaining de-identified representations of audio speech data for use in a speech analysis task, the method comprising: pre-processing the audio speech data to remove timbral information; encoding sections of the pre-processed audio speech data into audio representations by inputting sections of the pre-processed audio data into a prosody encoder, the prosody encoder comprising a machine learning model trained using self-supervised learning to map sections of the pre-processed audio data to corresponding audio representations. The combination of removing timbral information during pre-processing and encoding segments of pre-processed audio data using an encoder trained using self-supervised learning results in the provision of strong prosodic representations which are substantially de-identified from the speaker.

A pervasive user experience capable of integrating robo-advising with human advising is discussed. Conversations and other inputs may be actively captured to identify issues with which the system may be able to assist. Inputs from multiple conversations separated in time may be correlated to identify relevant needs and goals. Recommendations and strategies may be developed and presented to the customer. When it is determined that human advising is appropriate for one or more issues, the customer may be connected to an advisor for assistance with particular issues. Transitions may be facilitated to allow customers to more efficiently return to robo-advising until human advising is again deemed appropriate.

Methods and systems include sending recording data of a call to a first server and a second server, wherein the recording data includes a first voice of a first participant of the call and a second voice of a second participant of the call; receiving, from the first server, a first emotion score representing a degree of a first emotion associated with the first voice, and a second emotion score representing a degree of a second emotion associated with the first voice; receiving, from the second server, a first sentiment score, a second sentiment score, and a third sentiment score; determining a quality score and classification data for the recording data based on the first emotion score, the second emotion score, the first sentiment score, the second sentiment score, and the third sentiment score; and outputting the quality score and the classification data for visualization of the recording data.