Abstract:
Systems, methods, and media for disambiguating call data are provided herein. Some exemplary methods include receiving, via a fraud notification system, notification of a fraud event associated with a customer account, the fraud event comprising a time stamp, determining, via a call selection module, unique voice samples or models from call events obtained within a time frame that is temporally proximate the fraud event, and generating a timeline presentation that includes each unique voice sample or model identified in the call events based upon a time stamp associated with the call events.
Abstract:
A voice input system (100) includes a processing receiving unit (104) that receives identification information of a telephone that is to receive a callback, in order to input a voice, together with a voice recognition process request, a call processing unit (106) that originates a callback based on the identification information of the telephone received by the processing receiving unit (104), a voice data receiving unit (108) that receives voice data of a voice when the callback originated by the call processing unit (106) is received and the user's voice is input, and a voice recognition result storage unit (122) that stores result data which is data of a voice recognition result of the voice data received by the voice data receiving unit (108) in association with the identification information of the telephone.
Abstract:
A processor-implemented method, system, and/or computer program product retrieves a voice print of a caller to a call network. A processor generates a first voice print, a second voice print, and a third voice print of a caller who makes a call to a call network. The first voice print, the second voice print, and the third voice print are consolidated into a consolidated voice print. In response to a request for a particular voice print, the requested voice print is selectively retrieved from first voice print, the second voice print, and the third voice print in the consolidated voice print, and then sent to the requester.
Abstract:
Disclosed are systems, methods, and computer readable media for tracking a person of interest. The method embodiment comprises identifying a person of interest, capturing a voiceprint of the person of interest, comparing a received voiceprint of a caller with the voiceprint of the person of interest, and tracking the caller if the voiceprint of the caller is a substantial match to the voiceprint of the person of interest.
Abstract:
A system is presented for logging and recording a call to a call network. The system comprises a voice print logic for generating a voice print of a caller who is making a call to a call network. A telecom routing switch generates a correlated telecom router switch log file by appending the voice print of the caller to a telecom router switch log file for the call. A telecom software system generates a correlated telecom software system log file by appending the voice print of the caller to a telecom software system log file for the call. A contact center agent generates a correlated contact center agent log file by appending the voice print of the caller to a contact center agent log file for the call. The voice print is utilized to retrieve and to consolidate the correlated telecom router switch log file, the correlated telecom software system log file, and the correlated contact center agent log file into a single correlated file for the call.
Abstract:
A method includes registering a voice of a party in order to provide voice verification for communications with an entity. A call is received from a party at a voice response system. The party is prompted for information and verbal communication spoken by the party is captured. A voice model associated with the party is created by processing the captured verbal communication spoken by the party and is stored. The identity of the party is verified and a previously stored voice model of the party, registered during a previous call from the party, is updated. The creation of the voice model is imperceptible to the party.
Abstract:
A method and device for verification of an identity of a subscriber of a communication service on a telecommunications network is provided. The communication service requires authentication of the subscriber. The verification includes comparing a reference biometric with at least one biometric characteristic detected from a biometric sample of the subscriber, in order to provide the subscriber with access to the restricted communication service. The reference biometric can be adapted and used for verification purposes based on the different security requirements of the various communication services provided on the telecommunications network.
Abstract:
A secure telephone call management system is provided for authenticating users of a telephone system in an institutional facility. Authentication of the users of the telephone call management system is accomplished by using a personal identification number, biometric means, and/or radio frequency means. The secure telephone call management system includes accounting software capable of limiting access to the system based on funds in a user's account, and includes management software capable of implementing widespread or local changes to the system. The system monitors a conversation in the telephone call to detect a presence of a first characteristic in audio of the conversation, and terminates the telephone call if the first characteristic does not match a second characteristic of biometric information of a user or a called party.
Abstract:
Methods and systems are provided for natural-language surveillance of packet-based communications. Speech data is received, representing at least part of a speech session. The speech data is compared with at least one speech-characteristics profile in an automated manner. The comparing step comprises using natural-language-processing (NLP) to compare the speech data with the profiles on at least one of a lexical level, a syntactic level, a semantic level, a discourse level, and a pragmatic level. It is determined in an automated manner whether the speech data matches any of the profiles. If the speech data matches at least one profile, an indication that the speech data matches the at least one matching profile is responsively stored.
Abstract:
The audio signals associated with different co-located groups of talkers in a teleconference are detected (e.g., by comparing the voiceprint for the current talker group with stored voiceprints corresponding to all of the co-located teleconference participants) and processed using different and appropriate automatic gain control (AGC) levels, where each group has a corresponding stored AGC level. Depending on the embodiment, each group may have one or more participants.