Abstract: Providing optical watermark signals for a visual authentication session by performing at least the following: receive, at an anti-spoof engine, an instruction to perform visual authentication operations for a visual authentication session, generate, with the anti-spoof engine, an optical watermark signal based on receiving the instruction, wherein the optical watermark signal includes at least one optical identifier to authenticate images captured during the visual authentication session, obtain, with the anti-spoof engine, an image source that includes captured images of the visual authentication session, determine, with the anti-spoof engine, whether the image source includes a reflected optical watermark signal, and compare, with the anti-spoof engine, whether the reflected optical watermark signal matches the generated optical watermark signal based on the determination that the image source includes the reflected optical watermark signal.

Abstract: Apparatus and methods for extraction and calculation of multi-person performance metrics in a three-dimensional space. An example apparatus includes a detector to identify a first subject in a first image captured by a first image capture device based on a first set of two-dimensional kinematic keypoints in the first image, the two-dimensional kinematic keypoints corresponding to a joint of the first subject, the first image capture device associated with a first view of the first subject, a multi-view associator to verify the first subject using the first image and a second image captured by a second image capture device, the second image capture device associated with a second view of the first subject, the second view different than the first view, and a keypoint generator to generate three-dimensional keypoints for the first subject using the first set of two-dimensional kinematic keypoints.

Abstract: Providing optical watermark signals for a visual authentication session by performing at least the following: receive, at an anti-spoof engine, an instruction to perform visual authentication operations for a visual authentication session, generate, with the anti-spoof engine, an optical watermark signal based on receiving the instruction, wherein the optical watermark signal includes at least one optical identifier to authenticate images captured during the visual authentication session, obtain, with the anti-spoof engine, an image source that includes captured images of the visual authentication session, determine, with the anti-spoof engine, whether the image source includes a reflected optical watermark signal, and compare, with the anti-spoof engine, whether the reflected optical watermark signal matches the generated optical watermark signal based on the determination that the image source includes the reflected optical watermark signal.

Abstract: Providing optical watermark signals for a visual authentication session by performing at least the following: receive, at an anti-spoof engine, an instruction to perform visual authentication operations for a visual authentication session, generate, with the anti-spoof engine, an optical watermark signal based on receiving the instruction, wherein the optical watermark signal includes at least one optical identifier to authenticate images captured during the visual authentication session, obtain, with the anti-spoof engine, an image source that includes captured images of the visual authentication session, determine, with the anti-spoof engine, whether the image source includes a reflected optical watermark signal, and compare, with the anti-spoof engine, whether the reflected optical watermark signal matches the generated optical watermark signal based on the determination that the image source includes the reflected optical watermark signal.

Abstract: Apparatus and methods for extraction and calculation of multi-person performance metrics in a three-dimensional space. An example apparatus includes a detector to identify a first subject in a first image captured by a first image capture device based on a first set of two-dimensional kinematic keypoints in the first image, the two-dimensional kinematic keypoints corresponding to a joint of the first subject, the first image capture device associated with a first view of the first subject, a multi-view associator to verify the first subject using the first image and a second image captured by a second image capture device, the second image capture device associated with a second view of the first subject, the second view different than the first view, and a keypoint generator to generate three-dimensional keypoints for the first subject using the first set of two-dimensional kinematic keypoints.

Abstract: A system is disclosed that includes a processor including watermark logic to output a first watermark to an output device that outputs a first watermark signal, based on the first watermark, to an acoustic transmission medium. The processor also includes recording logic to capture, at a first time period, an authentication submission comprising the first watermark signal convolved, via the acoustic transmission medium, with a first passphrase signal. The system also includes a dynamic random access memory (DRAM). Other embodiments are disclosed and claimed.

Abstract: Cepstral variance normalization is described for audio feature extraction.

Abstract: A system is disclosed that includes a processor including watermark logic to output a first watermark to an output device that outputs a first watermark signal, based on the first watermark, to an acoustic transmission medium. The processor also includes recording logic to capture, at a first time period, an authentication submission comprising the first watermark signal convolved, via the acoustic transmission medium, with a first passphrase signal. The system also includes a dynamic random access memory (DRAM). Other embodiments are disclosed and claimed.

Abstract: A system is disclosed that includes a processor including watermark logic to output a first watermark to an output device that outputs a first watermark signal, based on the first watermark, to an acoustic transmission medium. The processor also includes recording logic to capture, at a first time period, an authentication submission comprising the first watermark signal convolved, via the acoustic transmission medium, with a first passphrase signal. The system also includes a dynamic random access memory (DRAM). Other embodiments are disclosed and claimed.

Abstract: Providing optical watermark signals for a visual authentication session by performing at least the following: receive, at an anti-spoof engine, an instruction to perform visual authentication operations for a visual authentication session, generate, with the anti-spoof engine, an optical watermark signal based on receiving the instruction, wherein the optical watermark signal includes at least one optical identifier to authenticate images captured during the visual authentication session, obtain, with the anti-spoof engine, an image source that includes captured images of the visual authentication session, determine, with the anti-spoof engine, whether the image source includes a reflected optical watermark signal, and compare, with the anti-spoof engine, whether the reflected optical watermark signal matches the generated optical watermark signal based on the determination that the image source includes the reflected optical watermark signal.

Abstract: Providing optical watermark signals for a visual authentication session by performing at least the following: receive, at an anti-spoof engine, an instruction to perform visual authentication operations for a visual authentication session, generate, with the anti-spoof engine, an optical watermark signal based on receiving the instruction, wherein the optical watermark signal includes at least one optical identifier to authenticate images captured during the visual authentication session, obtain, with the anti-spoof engine, an image source that includes captured images of the visual authentication session, determine, with the anti-spoof engine, whether the image source includes a reflected optical watermark signal, and compare, with the anti-spoof engine, whether the reflected optical watermark signal matches the generated optical watermark signal based on the determination that the image source includes the reflected optical watermark signal.

Abstract: Cepstral variance normalization is described for audio feature extraction.

Abstract: Various embodiments are generally directed to pairing computing devices for collaborative interaction via a network through a centralized secure device pairing service. An apparatus comprises a controller processor circuit, and a controller storage communicatively coupled to the controller processor circuit to store an initial private key and to store instructions that when executed by the controller processor circuit cause the controller processor circuit to create a first signature using the initial private key, transmit the first signature to an issuing server via a network, receive a group public key and an associated member private key from the issuing server, create a second signature using the member private key, transmit the second signature to a member device via the network; receive a third signature from the member device; and authenticate the third signature using the group public key. Other embodiments are described and claimed herein.

Abstract: Techniques related to key phrase detection for applications such as wake on voice are discussed. Such techniques may include intermediate scoring of a state or states of a key phrase model and/or a backward transition or rejection loopback from a state of the key phrase model to a rejection model to reduce false accepts based on received utterances.

Abstract: Providing optical watermark signals for a visual authentication session by performing at least the following: receive, at an anti-spoof engine, an instruction to perform visual authentication operations for a visual authentication session, generate, with the anti-spoof engine, an optical watermark signal based on receiving the instruction, wherein the optical watermark signal includes at least one optical identifier to authenticate images captured during the visual authentication session, obtain, with the anti-spoof engine, an image source that includes captured images of the visual authentication session, determine, with the anti-spoof engine, whether the image source includes a reflected optical watermark signal, and compare, with the anti-spoof engine, whether the reflected optical watermark signal matches the generated optical watermark signal based on the determination that the image source includes the reflected optical watermark signal.

Abstract: Techniques related to key phrase detection for applications such as wake on voice are discussed. Such techniques may include intermediate scoring of a state or states of a key phrase model and/or a backward transition or rejection loopback from a state of the key phrase model to a rejection model to reduce false accepts based on received utterances.

Abstract: Techniques related to detecting replay attacks on automatic speaker verification systems are discussed. Such techniques may include receiving an utterance from a user or a device playing back the utterance, determining features associated with the utterance, and classifying the utterance in a replay utterance class or an original utterance class based on a statistical classification or a margin classification of the utterance using the features.

Abstract: A system is disclosed that includes a processor including watermark logic to output a first watermark to an output device that outputs a first watermark signal, based on the first watermark, to an acoustic transmission medium. The processor also includes recording logic to capture, at a first time period, an authentication submission comprising the first watermark signal convolved, via the acoustic transmission medium, with a first passphrase signal. The system also includes a dynamic random access memory (DRAM). Other embodiments are disclosed and claimed.

Abstract: Various systems, apparatuses, and methods for training classifiers using selected cohort sample subsets are disclosed herein, in an example, a set of target supervectors, representing a target class, is received, and a set of cohort supervectors, representing a cohort class, is received. A distance metric is calculated from a respective cohort supervector to a respective target supervector, and a proper subset of cohort supervectors are selected based on the calculated distance metrics. The set of target supervectors and the selected proper subset of cohort supervectors are used to train a classifier. Further examples described herein describe how training classifiers using selected cohort sample subsets may be used to increase performance and decrease resource consumption in voice biometric systems.

Abstract: Various embodiments are generally directed to pairing computing devices for collaborative interaction via a network through a centralized secure device pairing service. An apparatus comprises a controller processor circuit, and a controller storage communicatively coupled to the controller processor circuit to store an initial private key and to store instructions that when executed by the controller processor circuit cause the controller processor circuit to create a first signature using the initial private key, transmit the first signature to an issuing server via a network, receive a group public key and an associated member private key from the issuing server, create a second signature using the member private key, transmit the second signature to a member device via the network; receive a third signature from the member device; and authenticate the third signature using the group public key. Other embodiments are described and claimed herein.