Abstract: In one example, a method and apparatus for optimizing a software defined network configuration are disclosed. In one example, the method determines a first network relative performance parameter for a current configuration of a network, based on respective weighting profiles associated with services for which the network carries data. The method then determines a second network relative performance parameter for a proposed configuration of the network, based on the respective weighting profiles associated with the services for which the network carries data. The proposed configuration is implemented in the network when the second network relative performance parameter is greater than the first network relative performance parameter.

Abstract: A system that incorporates the subject disclosure may include, for example, receive user speech captured at a second end user device during a communication session between the second end user device and a first end user device, apply speech recognition to the user speech, identify an unclear word in the user speech based on the speech recognition, adjust the user speech to generate adjusted user speech by replacing all or a portion of the unclear word with replacement audio content, and provide the adjusted user speech to the first end user device during the communication session. Other embodiments are disclosed.

Abstract: A system that incorporates the subject disclosure may include, for example, determine a first impairment associated with a first user of a first end user device, receive user input captured at a second end user device during a communication session between the first and second end user devices, store instructions for executing a group of adjustment techniques for modifying the user input where the group of adjustment techniques includes amplifying selective frequencies and translating the user input into sign language images, select an adjustment technique from among the group of adjustment techniques, adjust the user input according to the adjustment technique to generate adjusted user input, and provide the adjusted user input to the first end user device during the communication session. Other embodiments are disclosed.

Abstract: A system that incorporates the subject disclosure may include, for example, receive user speech captured at a second end user device during a communication session between the second end user device and a first end user device, apply speech recognition to the user speech, identify an unclear word in the user speech based on the speech recognition, adjust the user speech to generate adjusted user speech by replacing all or a portion of the unclear word with replacement audio content, and provide the adjusted user speech to the first end user device during the communication session. Other embodiments are disclosed.

Abstract: A system that incorporates the subject disclosure may include, for example, determine a first impairment associated with a first user of a first end user device, receive user input captured at a second end user device during a communication session between the first and second end user devices, store instructions for executing a group of adjustment techniques for modifying the user input where the group of adjustment techniques includes amplifying selective frequencies and translating the user input into sign language images, select an adjustment technique from among the group of adjustment techniques, adjust the user input according to the adjustment technique to generate adjusted user input, and provide the adjusted user input to the first end user device during the communication session. Other embodiments are disclosed.

Abstract: Methods, computer-readable media and apparatuses for presenting a first relationship graph are disclosed. A processor calculates a communication priority score for each of a number of contacts of a user. The communication priority score is based upon a communication priority score factor and a weighting. The processor determines a subset of the plurality of contacts having communication priority scores above a threshold, and generates the first relationship graph including an icon representing the user and a plurality of shapes overlapping the icon representing the user. Each shape is associated with one of a plurality of social groups of the user. Each shape includes a second icon representing a contact of the subset of the plurality of contacts that is a member of a social group that is associated with a shape. The processor presents a graphical input field for changing the weighting of the communication priority score factor.

Abstract: A method, computer-readable storage device and apparatus for providing collaborative area monitoring are disclosed. For example, the method monitors the area via a plurality of sensors, wherein the plurality of sensors comprises an optical sensor and a positioning sensor, detects an alarm condition, activates one of the plurality of sensors to capture information associated with the alarm condition, and sends a request for assistance to a neighboring standalone area monitor using a wireless communications protocol.

Abstract: A system that incorporates the subject disclosure may include, for example, receive user speech captured at a second end user device during a communication session between the second end user device and a first end user device, apply speech recognition to the user speech, identify an unclear word in the user speech based on the speech recognition, adjust the user speech to generate adjusted user speech by replacing all or a portion of the unclear word with replacement audio content, and provide the adjusted user speech to the first end user device during the communication session. Other embodiments are disclosed.

Abstract: A system that incorporates the subject disclosure may include, for example, determine a first impairment associated with a first user of a first end user device, receive user input captured at a second end user device during a communication session between the first and second end user devices, store instructions for executing a group of adjustment techniques for modifying the user input where the group of adjustment techniques includes amplifying selective frequencies and translating the user input into sign language images, select an adjustment technique from among the group of adjustment techniques, adjust the user input according to the adjustment technique to generate adjusted user input, and provide the adjusted user input to the first end user device during the communication session. Other embodiments are disclosed.