A method and systems for identifying communicators as wanted or unwanted based on communications from such communicators, the method comprising determining communications from phone numbers as being unwanted by analyzing communication content features of communications associated with unwanted communicators, identifying telecommunications carriers that acquired the phone numbers, computing scores for the telecommunications carriers based on an amount of the determined unwanted communications from the phone numbers are unwanted, intercepting an inbound communication from a given phone number, identifying the given phone number is associated with a given one of the telecommunications carriers, and configuring handling of communications from the phone number based on a score of the given telecommunications carrier.

A fraud detection system receives incoming calls and determines a fraud score indicating the likelihood that the incoming call is from a fraudulent or malicious caller. The system is able to determine the age of a telephone number of an incoming call and from it determine a fraud score for the call.

According to an embodiment, an electronic device comprises: at least one communication processor configured to support first network communication and second network communication, wherein the at least one communication processor is configured to: receive a measurement command of at least one parameter associated with the second network communication based on the first network communication, identify whether a network communication other than the first network communication and the second network communication is activated, and based on identifying that the other network communication is activated, skip measurement on the at least one parameter associated with the second network communication.

An embodiment call termination apparatus includes a call termination word existence determination device configured to determine whether a call termination word exists in a call voice of a user, and a controller configured to compare the call termination word of the user with a call termination example word previously registered in a vehicle to control whether to terminate a call.

Systems and methods are provided for determining the quality of a civic address produced by a reverse geocoder, utilizing the uncertainty of a geodetic location and a distance between the geodetic location and a geocoded location (i.e., a civic address) determined by the reverse geocoder. Upon receiving a request by a PSAP for a civic address corresponding to a UE initiating a call for emergency services, a node initially identifies a geodetic location of the UE and an uncertainty of the geodetic location. The node initiates an API call to a reverse geocoder API. The node receives a geocoded location corresponding to the geodetic location and compares the geocoded location to the geodetic location to determine a distance between them. Based on the uncertainty of the geodetic location and the distance between the geodetic location and the geocoded location, a quality of the civic address is determined.

A method may include obtaining a first audio signal including first speech originating at a remote device during a communication session between the remote device and a communication device and obtaining a second audio signal including second speech originating at the communication device during the communication session between the remote device and the communication device. The method may also include obtaining a characteristic of the communication session from one or more of: the first audio signal, the second audio signal, and settings of the communication device and determining a hearing level of a user of the communication device using the characteristic of the communication session.

A method and system for establishing optimized data streams in a network can be configured for crafting resource-draining Session Description Protocol (SDP) bodies on a call queue.

A call processing system and method for processing calls from high volume callers. A frequency of call activity is monitored for callers to determine reception of a call from a high frequency caller. When a call is received from such a caller, provided is information predicted to be requested from the caller prior to the caller being voice connected to a company representative. The retrieved information is then provided to a company representative prior to the caller being voice connected with a company representative as to expedite the call. Additionally, a customized message for the high frequency caller may be generated prior to the caller being voice connected with a company representative whereby the customized message contains information predicted to be responsive to a predicted inquiry from the determined high frequency caller to mitigate the need to connect the caller to a company representative.

Techniques for behavioral pairing in a contact center system are disclosed. In one particular embodiment, the techniques may be realized as a method for pairing in a contact center including ordering one or more contacts, ordering one or more agents, comparing a first difference in ordering between a first contact and a first agent in a first pair with a second difference in ordering between a second contact and a second agent in a second pair, and selecting the first pair or the second pair for connection based on the comparing, wherein the first contact and the second contact are different or the first agent and the second agent are different.

The intelligibility of a video conference is monitored using speech-to-text conversion and by comparing text as spoken to text converted from received audio. A first portion of audio data of speech of a user which is timestamped with a first time is input into a first audio and text analyzer. A second portion of the audio data, which is also timestamped with the first time, is received onto a remote audio and text analyzer. The first audio and text analyzer converts the first portion of audio data into a first text fragment. The remote audio and text analyzer converts the second portion of audio data into a second text fragment. The first audio and text analyzer receives the second text fragment. The first text fragment is compared to the second text fragment. Whether the first text fragment matches the second text fragment is indicated to the user on a display.