Company Filing History:
Years Active: 2020
Title: Gurudatta Mishra: Innovator in Spoken Language Understanding Systems
Introduction
Gurudatta Mishra is a notable inventor based in Dublin, Ireland. He has made significant contributions to the field of spoken language understanding through his innovative patent. His work focuses on enhancing the interaction between humans and machines by improving how systems comprehend spoken language.
Latest Patents
Gurudatta Mishra holds a patent for a "Spoken language understanding system and method using recurrent neural networks." This invention discloses a system and method that jointly performs three critical functions when processing the word sequence of a user utterance. The functions include classifying a user's speech act into a dialogue act category, identifying the user's intent, and extracting semantic constituents from the word sequence. The system utilizes a bidirectional recurrent neural network (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 enhances the accuracy of these functions. Additionally, the system employs attention mechanisms to improve efficiency and accuracy by focusing on specific parts of the word sequence. The ability to jointly train these functions further increases the system's efficiency.
Career Highlights
Gurudatta Mishra is currently employed at Accenture Global Solutions Limited, where he continues to work on innovative solutions in technology. His expertise in recurrent neural networks and spoken language understanding positions him as a valuable asset in the field of artificial intelligence.
Collaborations
Gurudatta has collaborated with notable colleagues such as Harshawardhan Madhukar Wabgaonkar and Shubhashis Sengupta. These collaborations have likely contributed to the advancement of his research and innovations.
Conclusion
Gurudatta Mishra's work in spoken language understanding systems showcases his commitment to advancing technology in human-computer interaction. His innovative patent reflects the potential for improving communication through artificial intelligence.