Snap Inc.

Other

Columbia University

Softbank Corporation

Changxi Zheng

Shree Kumar Nayar

Chang Xiao

Karl Bayer

Austin Reiter

Arun Asokan Nair

Cheng Zhang

Yuko Ishiwaka

Ruilin Xu

Rundi Wu

Carl Vondrick

Systems and methods are provided that relate to vibrational input elements configured to provide inputs to control an application executed by a mobile computing device. The vibrational input elements may produce distinct vibration patterns that are detectable by a sensor of the mobile computing device. The respective vibration patterns may correspond to one or more actions that may be performed in relation to the application.

Vibrational input elements

Disclosed are methods, systems, device, and other implementations, including a method that includes receiving an audio signal representation, detecting in the received audio signal representation, using a first learning model, one or more silent intervals with reduced foreground sound levels, determining based on the detected one or more silent intervals an estimated full noise profile corresponding to the audio signal representation, and generating with a second learning model, based on the received audio signal representation and on the determined estimated full noise profile, a resultant audio signal representation with a reduced noise level.

Neural-network-based approach for speech denoising

Aspects of the present disclosure involve a system and a method for performing operations comprising: detecting physical touch of a touch-sensitive component on a back portion of a client device, the client device displaying a graphical user interface on a touch-sensitive display screen of a front portion of the client device; in response to detecting the physical touch, transmitting an electrical signal representing the physical touch of the touch-sensitive component on the back portion of the client device to the touch-sensitive display screen of the front portion of the client device; and causing an operation associated with the graphical user interface to be executed in response to the touch-sensitive display screen receiving the electrical signal representing the physical touch of the touch-sensitive component on the back portion of the client device.

Trackpad on back portion of a device

Method of performing acoustic zooming starts with microphones capturing acoustic signals associated with video content. Beamformers generate beamformer signals using the acoustic signals. Beamformer signals correspond respectively to tiles of video content. Each of the beamformers is respectively directed to a center of each of the tiles. Target enhanced signal is generated using beamformer signals. Target enhanced signal is associated with a zoom area of video content. Target enhanced signal is generated by identifying the tiles respectively having at least portions that are included in the zoom area, selecting beamformer signals corresponding to identified tiles, and combining selected beamformer signals to generate target enhanced signal. Combining selected beamformer signals may include determining proportions for each of the identified tiles in relation to the zoom area and combining selected beamformer signals based on the proportions to generate the target enhanced signal. Other embodiments are described herein.

Acoustic zooming

Disclosed are methods, systems, devices, apparatus, media, and other implementations, including a method that includes obtaining input visual data comprising a sequence of symbols, selected from a symbol set, with each of the symbols associated with a glyph representation. The method also includes obtaining a code message comprising code message symbols, and modifying at least one of the symbols of the input visual data to a different glyph representation associated with a respective at least one of the code message symbols to generate, at a first time instance, a resultant coded visual data.

Systems and methods for steganography based on text fonts

Growing community of inventors

New York, NY, United States of America

Changxi Zheng