This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Srikrishna Kompella: Innovator in Spoken Language Processing
Introduction
Srikrishna Kompella is a notable inventor based in Homestead, PA (US). He has made significant contributions to the field of spoken language processing. His innovative work focuses on generating multi-modal, context-aware embedded representations of entities.
Latest Patents
Kompella holds a patent titled "Contextual information for spoken language processing." This patent describes techniques for generating a multi-modal, context-aware embedded representation of an entity and the contextual data associated with it. The system he developed can receive a natural language entity and generate various context data, such as slot types, usage examples, phonemes, audio data, and image/video data. The process involves tokenizing and encoding the natural language entity along with the context data, which are then inputted into a language model to generate a single embedded representation. This representation can be utilized by system components for processing user input.
Career Highlights
Srikrishna Kompella is currently employed at Amazon Technologies, Inc. His work at Amazon has allowed him to explore and develop advanced technologies in the realm of language processing. His innovative approach has positioned him as a key player in the field.
Collaborations
Kompella has collaborated with notable colleagues, including Grant Strimel and Feng-Ju Chang. These collaborations have contributed to the advancement of technologies in spoken language processing.
Conclusion
Srikrishna Kompella's contributions to spoken language processing through his patent and work at Amazon Technologies, Inc. highlight his role as an influential inventor in the field. His innovative techniques continue to shape the future of language processing technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
