Matthews, NC, United States of America

Mohammad Gorji-Sefidmazgi

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: International Business Machines Corporation. Active years: 2023.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations by Mohammad Gorji-Sefidmazgi in Speech Recognition Technology

Introduction

Mohammad Gorji-Sefidmazgi is an accomplished inventor based in Matthews, NC (US). He has made significant contributions to the field of speech recognition technology. His innovative approach aims to enhance the accuracy of transcriptions generated by speech recognition models.

Latest Patents

Gorji-Sefidmazgi holds 1 patent for his work titled "Improving Speech Recognition Transcriptions." This patent outlines a method for correcting transcriptions of speech recognition models. The approach involves generating a list of similar sounding phonemes associated with high frequency terms for a virtual assistant. By analyzing audio metrics and other factors, the system assigns a confidence score to the transcription. If the score indicates a high similarity to a term from the list, the transcription can be corrected accordingly.

Career Highlights

Gorji-Sefidmazgi is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on advancing technologies that improve user interaction with virtual assistants. His innovative solutions have the potential to significantly enhance the user experience in speech recognition applications.

Collaborations

Some of his notable coworkers include Andrew Ronald Freed and Marco Noel. Their collaborative efforts contribute to the development of cutting-edge technologies in the field.

Conclusion

Mohammad Gorji-Sefidmazgi's contributions to speech recognition technology exemplify the impact of innovation in enhancing communication tools. His work continues to pave the way for more accurate and efficient speech recognition systems.

Profile summary based on public USPTO records.
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