A method includes: defining, by a computer device, an audio collaborative environment; defining, by the computer device, an access control of the audio collaborative environment, wherein the access control includes a geofence; receiving, by the computer device, a request from at least one user device to connect to the audio collaborative environment; determining, by the computer device, the at least one user device satisfies the access control; connecting, by the computer device, the at least one user device to an audio channel of the audio collaborative environment; recording, by the computer device, audio data transmitted on the audio channel by the at least one user device; storing, by the computer device, the audio data in a record; tagging, by the computer device, respective portions of the audio data in the record; and presenting one of the respective portions of the audio data to a user based on the tagging.

A method includes: defining, by a computer device, an audio collaborative environment; defining, by the computer device, an access control of the audio collaborative environment, wherein the access control includes a geofence; receiving, by the computer device, a request from at least one user device to connect to the audio collaborative environment; determining, by the computer device, the at least one user device satisfies the access control; connecting, by the computer device, the at least one user device to an audio channel of the audio collaborative environment; recording, by the computer device, audio data transmitted on the audio channel by the at least one user device; storing, by the computer device, the audio data in a record; tagging, by the computer device, respective portions of the audio data in the record; and presenting one of the respective portions of the audio data to a user based on the tagging.

A system and method to capture and interact with a comprehensive digital record of an individual's biographical history and produce a synthetic model of their personality. The captured biographical history is a detailed record of this individual's actions, interactions, and experiences over a period which may span decades of their lifetime. The biographical history is indexed by areas of data variability and neural network confidence variability to identify points of likely human interest. A synthetic personality model is generated as a representation of the individual's personality structure, biases, sentiments, and traits. The synthetic personality can be interacted with through a digital interface and demonstrates the interaction patterns, triggers, and habits of the original individual. The functioning and the performance of the system over an individual's lifespan are optimized through data synthesis and disposition.

Apparatus, methods, and computer program products for monitoring the behavior of attendees of a video conference are disclosed. One apparatus includes a processor and a memory that stores code executable by the processor. The code is executable by the processor to monitor behavior exhibited by each attendee of a video conference, determine, in real-time, that the behavior exhibited by one or more source attendees include one or more inappropriate behaviors that are directed to a target attendee, and transmit a notification to a moderator in response to determining that the behavior exhibited by the source attendee(s) include the inappropriate behavior(s) directed to the target attendee. In some apparatus, the notification identifies each source attendee, the target attendee, and each inappropriate behavior exhibited by each source attendee. Methods and computer program products that include and/or perform the operations and/or functions of the apparatus are also disclosed.

A sentiment-based score is determined for a contact center engagement between a first contact center service operator and a contact center user. The sentiment-based score is indicated within a graphical user interface displaying information associated with multiple contact center engagements at a device of a second contact center service operator. Based on a request to participate in the contact center engagement received from the device of the second contact center service operator via the graphical user interface, information associated with the contact center engagement is transmitted to the device of the second contact center service operator, and a contact center session involving a device of the contact center user and the device of the second contact center service operator is established.

A sentiment-based score is determined for a contact center engagement between a first contact center service operator and a contact center user. The sentiment-based score is indicated within a graphical user interface displaying information associated with multiple contact center engagements at a device of a second contact center service operator. Based on a request to participate in the contact center engagement received from the device of the second contact center service operator via the graphical user interface, information associated with the contact center engagement is transmitted to the device of the second contact center service operator, and a contact center session involving a device of the contact center user and the device of the second contact center service operator is established.

An emotion modeling method for providing a vehicle sound with regard to an emotion of a user in a vehicle sound and an apparatus thereof are provided. The emotion modeling apparatus receives a sound by a user utterance, determines an emotional attribute based on the sound using an emotion analysis algorithm, derives an instrumental value of a sound concept by analyzing psychosocial consequences of the emotional attribute using an artificial neural network, and generates an emotional model based on the instrumental value of the sound concept.

An emotion modeling method for providing a vehicle sound with regard to an emotion of a user in a vehicle sound and an apparatus thereof are provided. The emotion modeling apparatus receives a sound by a user utterance, determines an emotional attribute based on the sound using an emotion analysis algorithm, derives an instrumental value of a sound concept by analyzing psychosocial consequences of the emotional attribute using an artificial neural network, and generates an emotional model based on the instrumental value of the sound concept.

A method for displaying media information includes: receiving a media information request sent by an originating client, where the media information request carries media information and destination client information; parsing the received media information to obtain text information corresponding to the media information; synthesizing information related to the media information with information related to the text information to obtain composite information; and sending the composite information to a destination client according to the destination client information, so that the destination client obtains the media information and the text information according to the composite information and displays the media information and the text information.

A method for displaying media information includes: receiving a media information request sent by an originating client, where the media information request carries media information and destination client information; parsing the received media information to obtain text information corresponding to the media information; synthesizing information related to the media information with information related to the text information to obtain composite information; and sending the composite information to a destination client according to the destination client information, so that the destination client obtains the media information and the text information according to the composite information and displays the media information and the text information.