Cupertino, CA, United States of America

Jon Grossman

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2014

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Jon Grossman - Innovator in Speech Search Technology

Introduction

Jon Grossman is a notable inventor based in Cupertino, California. He has made significant contributions to the field of speech recognition technology. His innovative work focuses on enhancing the efficiency and accuracy of speech search applications.

Latest Patents

Jon Grossman holds a patent for the "Melodis crystal decoder method and device for searching an utterance by accessing a dictionary divided among multiple parallel processors." This technology, known as the Crystal Decoder, is designed for fast and accurate speech search. It is particularly beneficial for search applications rather than dictation. The system achieves both speed and accuracy without compromising one for the other. It can efficiently search various record variations in a reference database without significantly increasing processing time. This is accomplished by accessing the database and utilizing multiple parallel processors to search for likely instances of word representations in an utterance. The main decoding process can also be parallelized as the number of words increases, ensuring a quick response time.

Career Highlights

Jon Grossman is currently employed at Soundbound, Inc., where he continues to develop innovative technologies in the field of speech recognition. His work has positioned him as a key player in advancing speech search capabilities.

Collaborations

Jon collaborates with talented individuals such as Keyvan Mohajer and Seyed Majid Emami. Their combined expertise contributes to the success of their projects and innovations.

Conclusion

Jon Grossman is a pioneering inventor whose work in speech search technology has the potential to transform how we interact with voice-activated systems. His contributions are paving the way for more efficient and accurate speech recognition applications.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…