Samsung Electronics Co., Ltd.

Abhinav Gaba

Rahul Agrawal

Vipul Gupta

Kalgesh Singh

Nitesh Goyal

Govind Maheshwari

Kamya Jaiswal

Arjun Kumar Agrawal

Magendra Singh

Ashok Ranganathan

Ekansh Garg

Tarunesh Kumar Gupta

Akul Taneja

Raja Singhal

Arnav Aima

Deepak Sharma

A method for mitigating unwanted audio noise in internet of things (IoT) based communication environment is provided. The method includes identifying and pairing one or more IoT devices with a voice assistant device, and then dividing the one or more paired IoT devices into a plurality of clusters. The method further includes detecting a user's location with respect to a location of the voice assistant device and then determining a cluster among the plurality of clusters corresponding to the user's location based on the detected user's location and thereafter using a recurrent neural networks (RNN) model, predicting an optimal sound output of the voice assistance device that is audible at the detected user's location. The method furthermore includes correcting the predicted optimal sound output of the voice assistance device using a sound parameter value associated with the determined cluster and a phase shift of the predicted optimal sound output.

Method and system for mitigating unwanted audio noise in a voice assistant-based communication environment

A method for generating a virtual model of objects is provided. The method includes detecting, by a first electronic device, a communication session with a second electronic device, obtaining a first set of objects displayed on the first electronic device and a second set of objects displayed on the second electronic device based on the detection of the communication session, determining a first object from the first set of objects to be mapped to a second object from the second set of objects, predicting attributes of visible portions of the first object and the second object by mapping the first object to the second object, obtaining depth information related to the first object and the second object, and generating a virtual model of the first object and the second object based on the attributes of the visible portions of the first object and the second object and the depth information related to the first object and the second object.

Method and electronic device for generating partial virtual model of objects

A method and a device for personalized automatic tagging are provided. The method includes obtaining a plurality of context-based tags based on interactions between a user of the electronic device and a plurality of data items on the electronic device. The obtained plurality of context-based tags are associated with the plurality of data items. In response to detecting at least one context-based search input, at least one context-based tag corresponding to the at least one context-based search input is determined. At least one data item associated with the at least one context-based tag identified. A display of the electronic device is caused to display the at least one data item to the user.

Personalized automatic tagging

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HUDA Panipat, India

Abhinav Gaba