Westfield, NJ, United States of America

Fernando Carlos Pereira


Average Co-Inventor Count = 2.6

ph-index = 5

Forward Citations = 369(Granted Patents)


Company Filing History:


Years Active: 1998-2010

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6 patents (USPTO):Explore Patents

Title: Innovations of Fernando Carlos Pereira

Introduction

Fernando Carlos Pereira is an accomplished inventor based in Westfield, NJ (US). He holds a total of 6 patents that showcase his contributions to the field of speech retrieval technology. His innovative approaches have significantly advanced the methods used in document expansion for speech recognition systems.

Latest Patents

One of his latest patents focuses on "Document expansion in speech retrieval." This invention outlines methods for enhancing the effectiveness of speech retrieval documents by utilizing a recognizer. The process involves accessing a database of vectors from automatic transcriptions of documents. These vectors are truncated by removing terms that are not recognizable by the recognizer, creating truncated vectors. The terms in these vectors are then weighted to associate them with the untruncated vectors. Finally, terms that were not recognized by the recognizer are added back to the weighted, truncated vectors, allowing for the measurement of retrieval effectiveness.

Career Highlights

Throughout his career, Fernando has worked with notable companies such as AT&T Corp. and Lucent Technologies Inc. His experience in these organizations has contributed to his expertise in the field of speech retrieval and document processing technologies.

Collaborations

Fernando has collaborated with esteemed colleagues, including Amitabh Kumar Singhal and Michael Dennis Riley. These partnerships have fostered innovation and have led to significant advancements in their respective fields.

Conclusion

Fernando Carlos Pereira's work in speech retrieval technology exemplifies the impact of innovative thinking in the realm of document processing. His patents and collaborations highlight his commitment to advancing technology and improving retrieval effectiveness.

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