Abstract: Systems and methods for authenticating a user using a voice activated device. The method includes receiving first data representing a user identifier corresponding to a user and second data representing a device identifier corresponding to the voice activated device. The method further includes determining user metadata corresponding to the user identifier and a device audio type corresponding to the device identifier. The method also includes calculating a risk score based on the user metadata. The method further includes calculating a length of spoken voice utterance based on the calculated risk score. The method also includes receiving and processing third data representing a spoken voice utterance having the calculated length corresponding to the user using the voice activated device. The method further includes validating the user in response to determining that the processed third data substantially matches the voiceprint associated with the user.

Abstract: Systems and methods for authenticating a user using an interactive voice response application. The method includes receiving data representing a spoken voice utterance corresponding to a user of an interactive voice response application. The method further includes processing the data representing the spoken voice utterance based on a length and a quality of the spoken voice utterance. The method also includes comparing the processed data representing the spoken voice utterance and a voiceprint associated with the user. The method further includes generating a security token in response to determining that the processed data representing the spoken voice utterance substantially matches the voiceprint associated with the user. The method also includes receiving the security token from the interactive voice application and validating the security token corresponding to the user in response to determining that the security token matches a security token generated by a server computing device.

Abstract: Systems and methods for authenticating a user using a voice activated device. The method includes receiving first data representing a user identifier corresponding to a user and second data representing a device identifier corresponding to the voice activated device. The method further includes determining user metadata corresponding to the user identifier and a device audio type corresponding to the device identifier. The method also includes calculating a risk score based on the user metadata. The method further includes calculating a length of spoken voice utterance based on the calculated risk score. The method also includes receiving and processing third data representing a spoken voice utterance having the calculated length corresponding to the user using the voice activated device. The method further includes validating the user in response to determining that the processed third data substantially matches the voiceprint associated with the user.

Abstract: Systems and methods for authenticating a user using an interactive voice response application. The method includes receiving data representing a spoken voice utterance corresponding to a user of an interactive voice response application. The method further includes processing the data representing the spoken voice utterance based on a length and a quality of the spoken voice utterance. The method also includes comparing the processed data representing the spoken voice utterance and a voiceprint associated with the user. The method further includes generating a security token in response to determining that the processed data representing the spoken voice utterance substantially matches the voiceprint associated with the user. The method also includes receiving the security token from the interactive voice application and validating the security token corresponding to the user in response to determining that the security token matches a security token generated by a server computing device.

Abstract: A time measurement system that uses two signals generated by direct digital synthesis. The generated signals have the same frequency but different phase. One signal is used to identify the start of the measurement interval and the other signal is used to identify a measurement window in which a signal indicating the end of the measured interval might be detected. The time measurement system is used as part of a time domain reflectometry (TDR) system. An incident pulse is synchronized to the first signal and launched down on a line. In the measurement window, the signal on the line is compared to a threshold value to determine whether the pulse has been reflected and traveled back to the source. By iteratively repeating the measurement with a different measurement window, the time of arrival of the reflected pulse can be determined. This time domain reflectometry approach is incorporated into automatic test equipment for testing semiconductor devices and is used to calibrate the test equipment.