- 专利标题: System and method for reducing noise components in a live audio stream
-
申请号: US16811633申请日: 2020-03-06
-
公开(公告)号: US11462229B2公开(公告)日: 2022-10-04
- 发明人: Robin Tommy , Reshmi Ravindranathan , Navin Infant Raj , Venkatakrishna Akula , Jithin Laiju Ravi , Anita Nanadikar , Anil Kumar Sharma , Pranav Champaklal Shah , Bhasha Prasad Khose
- 申请人: Tata Consultancy Services Limited
- 申请人地址: IN Mumbai
- 专利权人: Tata Consultancy Services Limited
- 当前专利权人: Tata Consultancy Services Limited
- 当前专利权人地址: IN Mumbai
- 代理机构: Finnegan, Henderson, Farabow, Garrett & Dunner LLP
- 优先权: IN201921042203 20191017
- 主分类号: G10L21/0232
- IPC分类号: G10L21/0232 ; G06N20/00 ; G06K9/00 ; G06N3/08 ; G10L15/16
摘要:
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.
公开/授权文献
信息查询