Tata Consultancy Services Limited

Anil Kumar Sharma

Robin Tommy

Anita Pramod Nanadikar

Navin Infant Raj

Pranav Champaklal Shah

Reshmi Ravindranathan

Aswathy Sreelekha Krishna

Rinu Michael

Jithin Laiju Ravi

Akhil Guthula

Gireesh Venkataraghavendra Bandlamudi

Sayan Das

Venkatakrishna Akula

Mridul Sharma

Bhasha Prasad Khose

This disclosure relates generally to a system and method to identify a plurality of noises or their combination to suppress them and enhancing the deteriorated input signal in a dynamic manner. It identifies noises in the audio signal and categorizing them based on the trained database of noises. A combination of deep neural network (DNN) and artificial Intelligence (AI) helps the system for self-learning to understand and capture noises in the environment and retain the model to reduce noises from the next attempt. The system suppresses unwanted noise coming from the external environment with the help of AI based algorithms, by understanding, differentiating, and enhancing human voice in a live environment. The system will help in the reduction of unwanted noises and enhance the experience of business and public meetings, video conferences, musical events, speech broadcasts etc. that could cause distractions, disturbances and create barriers in the conversation.

System and method for reducing noise components in a live audio stream

A system and method to create an intelligent cartoon comic strip based on the dynamic content. Herein, the input is conversation-based text or speech files. The system identifies scenes, objects, sequence and flow for generating the comic strip along with gender of characters appearing in the entire conversation. Text is analyzed to create the situational based background image for the scenes that needs to be rendered. Emotion and placement of characters in the scene is decided by the NLP algorithms along with voice emotional and sentimental analysis. Characters are placed in plain canvas and then text dialog is embedded into corresponding text bubbles. Once this image is obtained, it is overlaid on top of the background based on the context. Further, the scenes are joined into a strip of images in a pattern, which depends on the number, and order of scenes, which is decided, based on the input.

Method and system for creating an intelligent cartoon chat strip based on dynamic content

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Thiruvananthapuram, India

Anil Kumar Sharma