Vevey, Switzerland

Olivier Masson


 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Olivier Masson: Innovator in Automatic Speech Recognition

Introduction

Olivier Masson is a notable inventor based in Vevey, Switzerland. He has made significant contributions to the field of automatic speech recognition, particularly in noisy environments. His innovative approach has the potential to enhance user interaction with technology through voice commands.

Latest Patents

Olivier Masson holds a patent for a "System and method for recognizing a user voice command in noisy environment." This invention includes an automatic speech recognition system designed to recognize user voice commands amidst background noise. The system features matching means for aligning elements retrieved from speech units with templates in a library. It is characterized by processing means that utilize a MultiLayer Perceptron to compute posterior templates stored in the template library. Additionally, the system retrieves posterior vectors from speech units, which are used as elements for recognition. This invention also encompasses a method for recognizing voice commands in challenging auditory conditions.

Career Highlights

Olivier is currently associated with Veovox SA, where he continues to develop and refine technologies related to speech recognition. His work is instrumental in advancing the capabilities of voice-activated systems, making them more effective in real-world applications.

Collaborations

Olivier collaborates with talented individuals such as John Dines and Jorge Carmona, who contribute to the innovative projects at Veovox SA. Their combined expertise fosters a creative environment that drives technological advancements.

Conclusion

Olivier Masson is a pioneering inventor whose work in automatic speech recognition is shaping the future of user interaction with technology. His contributions are vital in creating systems that can effectively understand voice commands in noisy environments.

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