A fraud analysis computing system is provided. The system includes a network interface configured to communicate data over a network and a processing circuit including one or more processors coupled to non-transitory memory. The processing circuit is configured to monitor incoming call data generated during an incoming call between a user and an incoming caller, detect a fraud trigger within the incoming call data, and complete a fraud interception activity in response to detection of the fraud trigger.

A voice communication method, a voice communication apparatus, and a voice communication system are disclosed. The method includes: at a transmitting side, obtaining voice information; determining whether the voice information is uttered by a preset user, and transmitting the voice information to a peer device if it is determined that the voice information is uttered by the preset user, and prohibiting the transmission of the voice information otherwise; and at a receiving side, receiving voice information transmitted from a peer device; collecting a first environmental information, and determining whether the first environmental information meets a voice output condition; outputting the voice information if it is determined that the first environmental information meets the voice output condition, and prohibiting the output of the voice information otherwise.

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 computer system may communicate metadata that identifies a current speaker. The computer system may receive audio data that represents speech of the current speaker, generate an audio fingerprint of the current speaker based on the audio data, and perform automated speaker recognition by comparing the audio fingerprint of the current speaker against stored audio fingerprints contained in a speaker fingerprint repository. The computer system may communicate data indicating that the current speaker is unrecognized to a client device of an observer and receive tagging information that identifies the current speaker from the client device of the observer. The computer system may store the audio fingerprint of the current speaker and metadata that identifies the current speaker in the speaker fingerprint repository and communicate the metadata that identifies the current speaker to at least one of the client device of the observer or a client device of a different observer.

A computer-implemented method to select a user profile is disclosed. The method may include obtaining, from a first device, a communication attempt at a user device. The method may further include obtaining first device data associated with the communication attempt and with the first device. The method may also include comparing the first device data with multiple data elements of each of multiple user profiles associated with the user device. The method may further include selecting a user profile of the multiple user profiles that includes the data element that matches the first device data in response to the first device data matching a data element of the multiple data elements. The method may also include loading an audio profile for the selected user profile on the user device.

A method and apparatus of sharing documents during a conference call data is disclosed. One example method may include initiating a document sharing operation during a conference call conducted between at least two participants communicating during the conference call. The method may also include transferring the document from one of the two participants to another of the two participants, and recording at least one action performed to the document by the participants during the conference call.

Systems for caller identification and authentication may include an authentication server. The authentication server may be configured to receive audio data including speech of a plurality of telephone calls, use audio data for at least a subset of the plurality of telephone calls to store a plurality of known characteristics each associated with a specific demographic, and/or use audio data for at least one of the plurality of telephone calls to identify the telephone caller making the telephone call based on determining a most similar known characteristic of the plurality of known characteristics to the audio data of the caller.

A method and apparatus of applying user profile information to a customized application are disclosed. One example method of operation may include receiving an inquiry message or call from a user device, identifying and authorizing the user from inquiry message information received from the inquiry message, retrieving a user profile comprising at least one user preference, applying the at least one user preference to a user call processing application, and transmitting menu options to the user device based on the applied at least user preference.

One embodiment provides a method comprising answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot. The bot is configured to engage in a conversation with a caller initiating an incoming phone call utilizing a voice recording that impersonates a human being. The method further comprises recording each conversation the bot engages in, and classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data.

A virtual assistant application, system, and service that interacts with a caller over a telephone, cellular, or VoIP network as the called party's representative when the called party is unavailable, providing answers to queries and performing commands that were provisioned by the called party. The application includes a telephony interface, speech recognition and synthesis, a dialog manager, and knowledge domain. The application can also be configured to interact with a sender of SMS, MMS, or IM messages.