Dish Network Technologies India Private Limited

Cimpress Schweiz Gmbh

Debashish Sahoo

Anshul Garg

Arun Lokman Gangotri

Jonathan Cho

Balarama Mathukumilli

Vijay S Reddy Pochampally

Saurabh Kumar

Rohan Halasur

Ankur Tiwari

Ramizuddin Khan

Systems and methods for visually rendering a set of characters in a visual design are disclosed. According to certain aspects, an electronic device may determine a position for a character sizing box within a container element of the visual design. Further, the electronic device may determine a placement location for a set of characters within the character sizing box. Additionally, the electronic device may generate and display a visual rendering of the visual design that may comprise the set of characters within the character sizing box which is positioned within the container element, where the visual rendering may comprise additional content positioned relative to the set of characters according to a layout format.

Techniques for visually rendering a set of characters and other elements in a visual design

A method and system for voice emotion identification contained in audio in a call providing customer support between a customer and a service agent by implementing an emotion identification application to identify emotions captured in a voice of the customer from audio received by a media streaming device; receiving, by the emotion identification application, an audio stream of a series of voice samples contained in consecutive frames from audio received; extracting, by the emotion identification application, a set of voice emotion features from each frame in each voice sample of the audio by applying a trained machine learning (ML) model for identifying emotions utilizing a neural networks to determine one or more voice emotions by a configured set of voice emotion features captured in each voice sample; and classifying, by the emotion identification application, each emotion determined by the trained ML model based on a set of classifying features to label one or more types of emotions captured in each voice sample.

Method and system for analyzing customer calls by implementing a machine learning model to identify emotions

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Bengaluru, India

Debashish Sahoo