New York, NY, United States of America

Raul Fernandez

USPTO Granted Patents = 5 

Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2010-2020

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5 patents (USPTO):

Title: The Innovative Mind of Raul Fernandez: A Pioneer in Prosodic Technology

Introduction

Raul Fernandez is an accomplished inventor based in New York, NY, who has made significant contributions to the field of speech technology. With a total of five patents to his name, his work primarily revolves around the enhancement of prosodic classification and expressiveness through innovative computer systems.

Latest Patents

Among his notable patents, the "Voice-transformation based data augmentation for prosodic classification" stands out. This invention involves a computer system that receives a training set of voice data from multiple speakers, classified with categorized prosodic labels. The system adeptly transforms this voice data while retaining elements crucial for the classification, thus creating a new training dataset. This new set is utilized to augment a database, significantly improving the training of speech models in artificial intelligence systems.

Another key patent held by Fernandez is the "Hybrid predictive model for enhancing prosodic expressiveness." This invention includes advanced systems and methods for predicting prosody by extracting features from runtime data using a parametric model. By comparing these runtime features with training data, the system effectively predicts the prosody by leveraging an exemplar-based model, showcasing Fernandez's dedication to refining speech interaction technologies.

Career Highlights

Raul has amassed valuable experience working with prominent organizations in the tech industry, including IBM and Nuance Communications, Inc. His roles at these companies have undoubtedly influenced his innovative approaches and provided him with a platform to develop his groundbreaking inventions.

Collaborations

Throughout his career, Raul has partnered with talented individuals, including his coworkers Asaf Rendel and Ellen Marie Eide. These collaborations have played a crucial role in fostering creativity and advancing the effectiveness of the technologies they pioneered together.

Conclusion

Raul Fernandez stands as a testament to the power of innovation in the realm of speech technology. His inventiveness and dedication to enhancing prosodic classification and expressiveness through sophisticated computer systems are likely to leave a lasting impact on the industry. As he continues to explore new frontiers, Fernandez remains an inspiring figure for aspiring inventors and innovators alike.

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