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.

Methods and systems for artificially generating media streams are provided. Textual information, rhythm information and voice characteristics may be received. It may be determined that a first portion of the textual information corresponds to a first portion of the rhythm information and that a second portion of the textual information corresponds to a second portion of the rhythm information. Audio stream may be generated based on the textual information, the rhythm information and the voice characteristics. A first portion of the audio stream may include a vocal expression of the first portion of the textual information in a voice corresponding to the voice characteristics and according to the first portion of the rhythm information, and a second portion may include a vocal expression of the second portion of the textual information in the voice corresponding to the voice characteristics and according to the second portion of the rhythm information.

The present disclosure relates to a method for processing media content. The method comprises receiving a definition of a user specific media corpus, the media corpus comprising a plurality of media files; ranking candidate media segments generated from the media corpus according to one or more signal characteristics derived from the candidate media segments; processing the media signals of a subset of the ranked candidate media segments with different signal processings; presenting the differently processed media signals to a user for a user preference judgement; and determining a preferred signal processing based on user responses to the presentations.

The disclosure relates to a method for providing a personality profile. The method comprises obtaining an identification of one or more media items; obtaining a set of media content descriptors for each of the identified one or more media items, the set of media content descriptors comprising features including semantic descriptors for the respective media item, the semantic descriptors comprising at least one emotional descriptor for the respective media item; determining a set of aggregated media content descriptors for the entirety of the identified one or more media items based on the respective media content descriptors of the individual media items; mapping the set of aggregated media content descriptors to the personality profile, wherein the personality profile comprises a plurality of personality scores for elements of the profile, the personality scores calculated from aggregated features of the set of aggregated media content descriptors; and providing the personality profile corresponding to the one or more media items.

A method and computer readable medium for exploring similar users and items of a media service. In one aspect, a user can explore for similar users iteratively. In one aspect, a user interface is generated that displays a user selectable indicia representing a similar member function for allowing a user to search a media service for at least one other user which has a degree of similarity with respect to the searching user. In another aspect, a method facilitates the search of such a similar user within a media service.

A method, computer program product, and computing system for automating role assignment is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to associate a first portion of the encounter information with a first encounter participant. A first role is assigned to the first encounter participant.

In some examples, artificial intelligence based music playlist reordering and song performance assessment may include ascertaining listening data for a plurality of tracks, and generating a plurality of sessions. Tracks that have been played more than a specified play threshold may be identified and retained. Sessions that are greater than a minimum session length threshold and less than a maximum session length threshold may be retained. Input-output track sequences may be generated for the retained sessions. Unique identifiers may be assigned to each of the tracks present across the retained sessions. Each input-output track sequence may be vectorized based on associated unique identifiers. A neural network model may be trained based on the vectorized input-output track sequences. For an input playlist, the trained neural network model may be used to generate a modified playlist. Additionally or alternatively, a user-song interaction graph may be used to generate another modified playlist.

An example operation includes one or more of associating a vehicle with an impact, saving media captured before and after the impact as a media segment, transmitting, by a computing device associated with the vehicle, the media segment to another computing device, and building a sound profile from the media segment.

The invention enables digital music content to be downloaded to and used on a portable wireless computing device. An application running on the wireless device has been automatically adapted to parameters associated with the wireless device without end-user input (e.g. the application has been configured in dependence on the device OS and firmware, related bugs, screen size, pixel number, security models, connection handling, memory etc. This application enables an end-user to browse and search music content on a remote server using a wireless network; to download music content from that remote server using the wireless network and to playback and manage that downloaded music content. The application also includes a digital rights management system that enables unlimited legal downloads of different music tracks to the device and also enables any of those tracks stored on the device to be played so long as a subscription service has not terminated.

The invention enables digital music content to be downloaded to and used on a portable wireless computing device. An application running on the wireless device has been automatically adapted to parameters associated with the wireless device without end-user input (e.g. the application has been configured in dependence on the device OS and firmware, related bugs, screen size, pixel number, security models, connection handling, memory etc. This application enables an end-user to browse and search music content on a remote server using a wireless network; to download music content from that remote server using the wireless network and to playback and manage that downloaded music content. The application also includes a digital rights management system that enables unlimited legal downloads of different music tracks to the device and also enables any of those tracks stored on the device to be played so long as a subscription service has not terminated.