Utterances of at least two speakers in a speech signal may be distinguished and the associated speaker identified by use of diarization together with automatic speech recognition of identifying words and phrases commonly in the speech signal. The diarization process clusters turns of the conversation while recognized special form phrases and entity names identify the speakers. A trained probabilistic model deduces which entity name(s) correspond to the clusters.

A web-based contact center state engine provides data describing the state of the contact center system and actionable intelligence including key performance indicators. The contact center state engine may be utilized in conjunction with the network monitoring appliance which processes and manages exceptions to the call center data allowing for action, exceptions and escalation, thereby alerting an organization to an issue and providing recommended actions in addition to post event forensic data.

A contact center network including a contact center unit connected via a communication network to a plurality of agents and to a plurality of IoT devices, wherein each one of the plurality of IoT devices is equipped with sensor devices adapted to measure predetermined IoT measurement data, and at least one actuator device adapted to control the IoT device remotely, wherein the contact center unit is connectable to the sensor devices and the actuator devices via a IoT middleware unit adapted to receive an incident notification, if sensor measurement data matches a predetermined criterion indicating an incident, and wherein the contact center unit includes a routing unit adapted to route a contact based on the incident information comprised in the incident notification to an agent. Further, embodiments relate to a method for establishing a communication session in a contact center network.

In an example of this disclosure, a method may include receiving, by a database server, a data write request. The data write request may include authentication information corresponding to a first call session and first additional information. The method may include generating, by the database server, a first unique identifier based on the first additional information. The authentication information may correspond to the first unique identifier. The method may include storing the first unique identifier and the authentication information in a data structure in a memory of the database server.

A computer-implemented method for providing an objective evaluation to a customer service representative regarding his performance during an interaction with a customer may include receiving a digitized data stream corresponding to a spoken conversation between a customer and a representative; converting the data stream to a text stream; generating a representative transcript that includes the words from the text stream that are spoken by the representative; comparing the representative transcript with a plurality of positive words and a plurality of negative words; and generating a score that varies according to the occurrence of each word spoken by the representative that matches one of the positive words, and/or the occurrence of each word spoken by the representative that matches one of the negative words. Tone of voice, as well as response time, during the interaction may also be monitored and analyzed to adjust the score, or generate a separate score.

In an example of this disclosure, a method may include storing, by a first database server, first call session information in a data structure in a memory of the first database server. The first call session information may correspond to a unique identifier that corresponds to a caller. The method may include replicating the first call session information stored in the data structure in the memory of the first database server to a data structure in a memory of a second database server.

A computer-implemented method for providing an objective evaluation to a customer service representative regarding his performance during an interaction with a customer may include receiving a digitized data stream corresponding to a spoken conversation between a customer and a representative; converting the data stream to a text stream; generating a representative transcript that includes the words from the text stream that are spoken by the representative; comparing the representative transcript with a plurality of positive words and a plurality of negative words; and generating a score that varies according to the occurrence of each word spoken by the representative that matches one of the positive words, and/or the occurrence of each word spoken by the representative that matches one of the negative words. Tone of voice, as well as response time, during the interaction may also be monitored and analyzed to adjust the score, or generate a separate score.

A system and method may identify a fraud ring based on call or interaction data by analyzing by a computer processor interaction data including audio recordings to identify clusters of interactions which are suspected of involving fraud each cluster including the same speaker; analyzing by the computer processor the clusters, in combination with metadata associated with the interaction data, to identify fraud rings, each fraud ring describing a plurality of different speakers, each fraud ring defined by a set of speakers and a set of metadata corresponding to interactions including that speaker; and for each fraud ring, creating a relevance value defining the relative relevance of the fraud ring.

A contact center network including a contact center unit connected via a communication network to a plurality of agents and to a plurality of IoT devices, wherein each one of the plurality of IoT devices is equipped with sensor devices adapted to measure predetermined IoT measurement data, and at least one actuator device adapted to control the IoT device remotely, wherein the contact center unit is connectable to the sensor devices and the actuator devices via a IoT middleware unit adapted to receive an incident notification, if sensor measurement data matches a predetermined criterion indicating an incident, and wherein the contact center unit includes a routing unit adapted to route a contact based on the incident information comprised in the incident notification to an agent. Further, embodiments relate to a method for establishing a communication session in a contact center network.

In an example of this disclosure, a method may include receiving, by a database server, a data write request. The data write request may include authentication information corresponding to a first call session and first additional information. The method may include generating, by the database server, a first unique identifier based on the first additional information. The authentication information may correspond to the first unique identifier. The method may include storing the first unique identifier and the authentication information in a data structure in a memory of the database server.