Patents by Inventor Sushravya G M

Sushravya G M has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Spoken language understanding system and method using recurrent neural networks
    Patent number: 10679613
    Abstract: A system and method for spoken language understanding using recurrent neural networks (“RNNs”) is disclosed. The system and method jointly performs the following three functions when processing the word sequence of a user utterance: (1) classify a user's speech act into a dialogue act category, (2) identify a user's intent, and (3) extract semantic constituents from the word sequence. The system and method includes using a bidirectional RNN to convert a word sequence into a hidden state representation. By providing two different orderings of the word sequence, the bidirectional nature of the RNN improves the accuracy of performing the above-mentioned three functions. The system and method includes performing the three functions jointly. The system and method uses attention, which improves the efficiency and accuracy of the spoken language understanding system by focusing on certain parts of a word sequence. The three functions can be jointly trained, which increases efficiency.
    Type: Grant
    Filed: June 14, 2018
    Date of Patent: June 9, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: Harshawardhan Madhukar Wabgaonkar, Shubhashis Sengupta, Tirupal Rao Ravilla, Sumitraj Ganapat Patil, Poulami Debnath, Sushravya G M, Roshni Ramesh Ramnani, Gurudatta Mishra, Moushumi Mahato, Mauajama Firdaus
  • SPOKEN LANGUAGE UNDERSTANDING SYSTEM AND METHOD USING RECURRENT NEURAL NETWORKS
    Publication number: 20190385595
    Abstract: A system and method for spoken language understanding using recurrent neural networks (“RNNs”) is disclosed. The system and method jointly performs the following three functions when processing the word sequence of a user utterance: (1) classify a user's speech act into a dialogue act category, (2) identify a user's intent, and (3) extract semantic constituents from the word sequence. The system and method includes using a bidirectional RNN to convert a word sequence into a hidden state representation. By providing two different orderings of the word sequence, the bidirectional nature of the RNN improves the accuracy of performing the above-mentioned three functions. The system and method includes performing the three functions jointly. The system and method uses attention, which improves the efficiency and accuracy of the spoken language understanding system by focusing on certain parts of a word sequence. The three functions can be jointly trained, which increases efficiency.
    Type: Application
    Filed: June 14, 2018
    Publication date: December 19, 2019
    Inventors: Harshawardhan Madhukar Wabgaonkar, Shubhashis Sengupta, Tirupal Rao Ravilla, Sumitraj Ganapat Patil, Poulami Debnath, Sushravya G M, Roshni Ramesh Ramnani, Gurudatta Mishra, Moushumi Mahato, Mauajama Firdaus