Talence, France

Raphael Blouet

This inventor holds 3 USPTO granted patents and 3 published patent applications and 3 EPO patents. Top assignee: Daon Technology. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Raphael Blouet. Retrieved from https://idiyas.com/inventor/raphael-blouet-onbyihdt

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 3 

% Patents Active = 100.0


Average Co-Inventor Count = 2.3

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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3 patents (USPTO):Explore Patents

Title: Innovations by Raphael Blouet in Machine Learning and Audio Authentication

Introduction

Raphael Blouet is an innovative inventor based in Talence, France. He has made significant contributions to the fields of machine learning and audio authentication. With a total of 3 patents, his work focuses on enhancing the security and reliability of user authentication processes.

Latest Patents

One of Blouet's latest patents is titled "Methods and systems for training a machine learning model and authenticating a user with the model." This patent describes a method for training a machine learning model (MLM) to conduct authentication transactions. The process involves obtaining a training dataset of audio signals that include voice biometric data of a user. The method creates at least one embedding for each audio signal and calculates a loss for the machine learning algorithm used for training the MLM. Upon satisfying certain criteria, the MLM is deemed operable for verifying a user's identity based on voice biometric data.

Another notable patent is "Methods and systems for creating a synthetic speech detection algorithm and enhancing detection of fraudulent audio data using the algorithm." This invention outlines a method for creating an algorithm that enhances the detection of fraudulent audio data. It includes generating audio data using a synthetic speech creation algorithm and processing it with a synthetic speech detection algorithm. The method aims to improve the accuracy of detecting fraudulent audio data, thereby increasing the security of audio-based authentication systems.

Career Highlights

Raphael Blouet is currently employed at Daon Technology, where he continues to develop innovative solutions in the realm of audio authentication and machine learning. His work is pivotal in advancing technologies that ensure secure user verification processes.

Collaborations

Blouet collaborates with talented professionals such as Ana Mantecon and Linas Balciunas, contributing to a dynamic team focused on cutting-edge technological advancements.

Conclusion

Raphael Blouet's contributions to machine learning and audio authentication are noteworthy. His innovative patents reflect a commitment to enhancing security in user verification processes. Through his work at Daon Technology, he continues to push the boundaries of technology in this vital field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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