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.

An example electronic device for conducting conference calls includes a memory to store a user profile including first identifying information of a first participant in a conference call. A receiver receives second identifying information of the first participant from a transmitting device associated with the first participant. The first identifying information and the second identifying information form an identifier for the first participant. An audio encoder receives an audio signal. A processor, in response to determining which transmitting device is nearest to a source of the audio signal relative to other transmitting devices, identifies the first participant as a source of the audio signal, and combines the identifier for the first participant with the audio signal generated by the first participant. A router forwards the combined identifier and audio of the first participant to a receiving device of a second participant in the conference call.

Techniques are disclosed for transmitting an announcement to one or more devices. In one example, a first device receives a first message that includes an announcement, the announcement associated with a voice that spoke the announcement. The first device may determine the announcement from the first message, and then identify one or more devices for receiving the announcement. The one or more devices may have a particular device type of a plurality of different device types comprising at least a mobile device. The first device may then transmit a second message to the one or more devices for presentation of the announcement by the one or more devices.

A method for protecting user data during an audio interaction includes various operations performed by a processing system including at least one processor. In one example, the operations include detecting an audio signal that is part of an interaction between a user and another party, converting the audio signal into a string of text, detecting that the interaction is likely to put sensitive data of the user at risk, based on a comparison of the string of text to a library of interactions that are known to put sensitive data at risk, and sending an alert to notify the user that the interaction is likely to put the sensitive data of the user at risk, wherein the alert is sent to prevent the user from providing the sensitive data to the another party, and wherein the method is performed contemporaneously with an occurrence of the interaction.

Methods and systems are disclosed herein for improving the quality of audio for use in a biometric. A biometric system may use machine learning to determine whether audio or a portion of the audio should be used as a biometric for a user. A sample of the user’s voice may be used to generate a voice signature of the user. Portions of the audio that do not meet a similarity threshold when compared with the voice signature may be removed from the audio. Additionally or alternatively, interfering noises may be detected and removed from the audio to improve the quality of a voice biometric generated from the audio.

A system and method for providing call sessions between personal communication devices (PCDs) of sender users and recipient users are described. The system includes one or more voice communication domains (VCDs) interacting with each other, and a cross-domain coordinator configured to coordinate interaction between the voice communication domains over the Global Communication Network. Each VCD includes PCDs associated with the corresponding users, and a voice communication server (VCS) deployed within the voice communication domain. The VCS is configured to control operation of the PCDs verbally by user voice commands, and to provide call sessions between a sender user and a recipient user within the same voice communication domain and between the users of different voice communication domains. Initiation of the call sessions can be carried out either by voice commands to the VCS of the system, or by delivering a voice call proposal of the caller user for voice communication directly to the recipient in a natural manner.

Video-assisted presence detection is used to enhance a user experience in telephony communications. Image data, video data, or both, from a camera are used to determine whether a user is present at their device before a call is transferred to him or her. The video-assisted presence detection can be implemented based on a privacy setting. For example, one implementation allows a system to have partial access to a detector to detect user presence without capturing facial information, and without identifying that person. Another implementation allows the system to have partial access to the detector to detect user presence without having access to a video feed of the detector.

The server receives a response accepting a task from a device. The server assigns the task to a user of the device. The server transmits an indication that the task was assigned to the user of the device.

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 comprising: (a) a compliance server adapted to receive an audio feed of a telephone conversation; (b) an identification module adapted to ascertain IP addresses from which said audio feed originates and identify participants in said telephone conversation using said IP addresses; and (c) an analysis module adapted to ascertain a subject of said telephone conversation.