Company Filing History:
Years Active: 2000-2001
Title: Piyush C Modi: Innovator in Speech Recognition Technology
Introduction
Piyush C Modi is a notable inventor based in Flemington, NJ (US). He has made significant contributions to the field of speech recognition technology, holding a total of 3 patents. His work focuses on improving the efficiency and accuracy of automated speech recognition systems.
Latest Patents
One of his latest patents is titled "Confusion set-base method and apparatus for pruning a predetermined arrangement of indexed identifiers." This invention provides a method and apparatus for reducing a set of reference identifiers to a candidate subset. The system utilizes a recognizing device that produces a recognized identifier based on user input. It determines an index code from the recognized identifier and matches it with pre-stored confusion sets, ultimately identifying a candidate subset of reference identifiers.
Another significant patent is "Method and apparatus for discriminative utterance verification using a multiple confidence measures subsystem." This invention integrates independent confidence measures for both training and testing in automated speech recognition systems. The speech recognizer generates confidence measures, including misclassification error distances, which are then normalized and integrated to determine the acceptance or rejection of recognized utterances.
Career Highlights
Piyush C Modi is currently employed at AT&T Corp., where he continues to innovate in the field of speech recognition. His work has contributed to advancements in how speech is processed and verified in automated systems.
Collaborations
He collaborates with notable coworkers, including Deborah W Brown and Randy Glen Goldberg, who contribute to the innovative environment at AT&T Corp.
Conclusion
Piyush C Modi's contributions to speech recognition technology through his patents and work at AT&T Corp. highlight his role as a significant inventor in this field. His innovative methods continue to shape the future of automated speech recognition systems.