Abstract: A system for automated adaptation and improvement of speaker authentication in a voice biometric system environment, comprising a speech sample collector, a target selector, a voice analyzer, a voice data modifier, and a call flow creator. The speech sample collector retrieves speech samples from a database of enrolled participants in a speaker authentication system. The target selector selects target users that will be used to test the speaker authentication system. The voice analyzer extracts a speech component data set from each of the speech samples. The call flow creator creates a plurality of call flows for testing the speaker authentication system, each call flow being either an impostor call flow or a legitimate call flow. The call flows created by the call flow creator are used to test the speaker authentication system.

Abstract: A system for bi-directional quality testing of a telephony system or network using an audio generation device configured to automate Perceptual Evaluation of Speech Quality assessments and connect to a communication endpoint through computer telephony integration (CTI) instruction or system configuration to enable auto-answering of the communication endpoint, listen, record, and process signals and audio data, calculate Mean Opinion Scores (MOS), generate signals and audio for playback, compare files using a full reference algorithm, and store data with MOS results displayed in data naming structure.

Abstract: A system for automated adaptation and improvement of speaker authentication in a voice biometric system environment, comprising a speech sample collector, a target selector, a voice analyzer, a voice data modifier, and a call flow creator. The speech sample collector retrieves speech samples from a database of enrolled participants in a speaker authentication system. The target selector selects target users that will be used to test the speaker authentication system. The voice analyzer extracts a speech component data set from each of the speech samples. The call flow creator creates a plurality of call flows for testing the speaker authentication system, each call flow being either an impostor call flow or a legitimate call flow. The call flows created by the call flow creator are used to test the speaker authentication system.

Abstract: A system for flexible and scalable automated chat-based contact center testing, comprising a test case management platform, “chat cruncher”, contact center manager, chat classifier, and desktop automation engine, and method for using such a system for automated testing of a contact center's chat-based interactions environment and reporting of test results.

Abstract: A system for flexible and scalable automated chat-based contact center testing, comprising a test case management platform, “chat cruncher”, contact center manager, chat classifier, and desktop automation engine, and method for using such a system for automated testing of a contact center's chat-based interactions environment and reporting of test results.

Abstract: A system for automated audio quality testing, comprising a plurality of endpoint emulators, call engines, and optionally audio generator devices and head and torso simulator devices, and a method for using such a system for testing of audio quality over a variety of system architectures for optimization of contact center operations and improvement of customer experience.

Abstract: A system for flexible and scalable automated chat-based contact center testing, comprising a test case management platform, “chat cruncher”, contact center manager, chat classifier, and desktop automation engine, and method for using such a system for automated testing of a contact center's chat-based interactions environment and reporting of test results.

Abstract: A system for flexible and scalable automated end-to-end chat-based contact center testing, having a test case management platform, a chat cruncher, a contact center manager, a chat classifier, a desktop automation engine, and headless browser-based virtual agents and customers. The test case management platform allows a user to configure operation of the system. The chat cruncher operates a plurality of virtual customers. The contact center manager operates a plurality of virtual agents to participate in chat session with virtual customers.

Abstract: A system for automated audio quality testing, having various endpoint emulators, call engines, audio generator devices, and head and torso simulator devices. The call engine utilizes reference audio samples to simulate customer interactions with a contact center. The endpoint manager utilizes reference audio samples to simulate contact center agents' interactions with customers.

Abstract: A system for automated adaptation and improvement of speaker authentication in a voice biometric system environment, comprising a speech sample collector, a target selector, a voice analyzer, a voice data modifier, and a call flow creator. The speech sample collector retrieves speech samples from a database of enrolled participants in a speaker authentication system. The target selector selects target users that will be used to test the speaker authentication system. The voice analyzer extracts a speech component data set from each of the speech samples. The call flow creator creates a plurality of call flows for testing the speaker authentication system, each call flow being either an impostor call flow or a legitimate call flow. The call flows created by the call flow creator are used to test the speaker authentication system.

Abstract: A system for flexible and scalable automated end-to-end chat-based contact center testing, having a test case management platform, a chat cruncher, a contact center manager, a chat classifier, a desktop automation engine, and headless browser-based virtual agents and customers. The test case management platform allows a user to configure operation of the system. The chat cruncher operates a plurality of virtual customers. The contact center manager operates a plurality of virtual agents to participate in chat session with virtual customers.

Abstract: A system for automated audio quality testing, having various endpoint emulators, call engines, audio generator devices, and head and torso simulator devices. The call engine utilizes reference audio samples to simulate customer interactions with a contact center. The endpoint manager utilizes reference audio samples to simulate contact center agents' interactions with customers.

Abstract: A system for flexible and scalable automated chat-based contact center testing, comprising a test case management platform, “chat cruncher”, contact center manager, chat classifier, and desktop automation engine, and method for using such a system for automated testing of a contact center's chat-based interactions environment and reporting of test results.

Abstract: A contact center (120) is desirably tested for operating performance by simulating calls in the contact center (120) in an automated manner. Simulation of calls is achieved with the use of virtual agents that mimic the behavior of human agents that ordinarily deal with caller enquiries in a contact center (120). A set of virtual agents, which can mirror their human counterparts, can be generated and assigned activities and behaviors that simulate the behavior of human agents. These virtual agents can thus be enlisted in testing campaigns placed within the contact center (120), and assigned to answer calls as if they were in fact human agents, in accordance with the usual operation of the contact center environment.

Abstract: A contact centre (120) is desirably tested for operating performance by simulating calls in the contact centre (120) in an automated manner. Simulation of calls is achieved with the use of virtual agents that mimic the behaviour of human agents that ordinarily deal with caller enquiries in a contact centre (120). A set of virtual agents, which can mirror their human counterparts, can be generated and assigned activities and behaviours that simulate the behaviour of human agents. These virtual agents can thus be enlisted in testing campaigns placed within the contact centre (120), and assigned to answer calls as if they were in fact human agents, in accordance with the usual operation of the contact centre environment.