At&t Intellectual Property I, LP

At+t Corp.

Lucent Technologies Inc.

Donald John Bowen

Lusheng Ji

Horst Juergen Schroeter

Dimitrios Dimitriadis

Robert Raymond Miller, Ii

Richard Henry Erving

Christopher W Rice

John F Murray

Randolph Wohlert

Thomas Joseph Killian

Norman Loren Schryer

David Kormann

Jeffrey Paul Johnson

Mazin E Gilbert

Daniel G Sheleheda

Cynthia Cama

Jesse Eugene Russell

David Michael Britz

Leonid Razoumov

Christopher Lee Rutledge

Gregory M Durant

Gregory Ciurpita, Jr

The present invention provides methods and apparatuses for verifying that a transaction is legitimate. The methods and apparatuses use protected memory space, such as kernel space of an operating system, or a separate memory space, such as is available on a SIM card of a cellular phone. The method of the invention proceeds by creating a transaction identification string (TID) and associating the TID with a transaction. The TID contains data relevant to or associated with the transaction and is typically readable by an end-user. The transaction is then interrupted until a user responds in the affirmative to allow completion of the transaction. Methods and devices used in the invention are particularly well suited to M-commerce, where transactions originating from a device are typically recognized by a merchant as coming from the owner of the device without further authentication.

Method and device for end-user verification of an electronic transaction

A system for exploiting visual information for enhancing audio signals via source separation and beamforming is disclosed. The system may obtain visual content associated with an environment of a user, and may extract, from the visual content, metadata associated with the environment. The system may determine a location of the user based on the extracted metadata. Additionally, the system may load, based on the location, an audio profile corresponding to the location of the user. The system may also load a user profile of the user that includes audio data associated with the user. Furthermore, the system may cancel, based on the audio profile and user profile, noise from the environment of the user. Moreover, the system may include adjusting, based on the audio profile and user profile, an audio signal generated by the user so as to enhance the audio signal during a communications session of the user.

Exploiting visual information for enhancing audio signals via source separation and beamforming

A pre-distortion system for improved mobile device communications via cancellation of nonlinear distortion is disclosed. The pre-distortion system may transmit an acoustic signal from a network to a device, wherein the acoustic signal includes a linear signal and a nonlinear cancellation signal that cancels at least a portion of nonlinear distortions created once a loudspeaker in the device emits the linear signal. Thus, when a loudspeaker of a mobile device is operating and nonlinear distortions are generated by the loudspeaker or adjacent components of the mobile device in close proximity to the loudspeaker, the pre-distortion system may create one or more nonlinear cancellation signals in the network. The nonlinear cancellation signal may be combined with the linear signal sent to the loudspeaker to cancel the nonlinear distortion signal created by the loudspeaker emitting acoustic sounds from the linear signal. Thus, the nonlinear cancellation signal becomes a pre-distortion signal.

Pre-distortion system for cancellation of nonlinear distortion in mobile devices

A system for providing an acoustic environment recognizer for optimal speech processing is disclosed. In particular, the system may utilize metadata obtained from various acoustic environments to assist in suppressing ambient noise interfering with a desired audio signal. In order to do so, the system may receive an audio stream including an audio signal associated with a user and including ambient noise obtained from an acoustic environment of the user. The system may obtain first metadata associated with the ambient noise, and may determine if the first metadata corresponds to second metadata in a profile for the acoustic environment. If the first metadata corresponds to the second metadata, the system may select a processing scheme for suppressing the ambient noise from the audio stream, and process the audio stream using the processing scheme. Once the audio stream is processed, the system may provide the audio stream to a destination.

Acoustic environment recognizer for optimal speech processing

A method and system for managing an instrumentation device include accessing an image of the instrumentation device. Based on the image, an identity for the instrumentation device is determined. The identity is used to register the instrumentation device by configuring a gateway at a multimedia content distribution network client location to access and communicate with the instrumentation device. The identity of the instrumentation device and the gateway may be stored for future configuration of the gateway.

Method and system for configuring instrumentation devices

A system for self-organized acoustic signal cancellation over a network is disclosed. The system may transmit an acoustic sounding signal to an interfering device so that a channel measurement may be performed for a channel between the interfering device and an interferee device. The system may receive the channel measurement for the channel from the interfering device and also receive a digitized version of an audio interference signal associated with the interfering device. Based on the channel measurement and the digital version of the interference signal, the system may calculate a cancellation signal prior to the arrival of the original over-the-air audio interference signal that corresponds to the digital version of audio interference signal. The system may then apply the cancellation signal to an audio signal associated with the interferee device to remove the interference signal from the audio signal.

Self-organized acoustic signal cancellation over a network

A system for cloud acoustic enhancement is disclosed. In particular, the system may leverage metadata and cloud-computing network resources to mitigate the impact of noisy environments that may potentially interfere with user communications. In order to do so, the system may receive an audio stream including an audio signal associated with a user, and determine if the audio stream also includes an interference signal. The system may determine that the audio stream includes the interference signal if a portion of the audio stream correlates with metadata that identifies the interference signal. If the audio stream is determined to include the interference signal, the system may cancel the interference signal from the audio stream by utilizing the metadata and the cloud-computing network resources. Once the interference signal is cancelled, the system may transmit the audio stream including the audio signal associated with the user to an intended destination.

Acoustic enhancement by leveraging metadata to mitigate the impact of noisy environments

A system for sensor enhanced speech recognition is disclosed. The system may obtain visual content or other content associated with a user and an environment of the user. Additionally, the system may obtain, from the visual content, metadata associated with the user and the environment of the user. The system may also include determining, based on the visual content and metadata, if the user is speaking. If the user is determined to be speaking, the system may obtain audio content associated with the user and the environment. The system may then adapt, based on the visual content, audio content, and metadata, one or more acoustic models that match the user and the environment. Once the one or more acoustic models are adapted and loaded, the system may enhance a speech recognition process or other process associated with the user.

Sensor enhanced speech recognition

Methods, systems, and computer-readable media for generating a projected image are provided. Movement measurements are received from an accelerometer within a projection device. A determination is made as to whether the movement measurements indicate movement of the projection device. Upon determining that the movement measurements indicate movement of the projection device, a movement correction factor is determined based on the movement measurements to compensate for the movement of the projection device. The projection device is caused to generate a projected image according to the movement correction factor.

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Madison, NJ, United States of America

Donald John Bowen