Paris, France

Raphaël Marinier

This inventor holds 3 USPTO granted patents and 2 published patent applications and 3 EPO patents. Top assignee: Google Inc.. Active years: 2021-2026.

USPTO Granted Patents = 3 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.6

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2026

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3 patents (USPTO):Explore Patents

Title: Raphaël Marinier: Innovator in Audio Generation Technology

Introduction

Raphaël Marinier is a prominent inventor based in Paris, France. He has made significant contributions to the field of audio generation through innovative technologies. His work focuses on utilizing advanced neural networks to enhance audio signal prediction.

Latest Patents

Raphaël holds a patent for a groundbreaking method titled "Generating audio using auto-regressive generative neural networks." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a prediction of an audio signal. One of the methods involves receiving a request to generate an audio signal, obtaining a semantic representation of the audio signal, and generating an acoustic representation using generative neural networks. The process culminates in the use of a decoder neural network to produce the final audio signal prediction.

Career Highlights

Raphaël Marinier is currently employed at Google Inc., where he continues to push the boundaries of audio technology. His expertise in generative neural networks has positioned him as a key player in the development of innovative audio solutions.

Collaborations

Raphaël has collaborated with notable colleagues, including Neil Zeghidour and David G Grangier. These partnerships have fostered a creative environment that encourages the exploration of new ideas and technologies in audio generation.

Conclusion

Raphaël Marinier's contributions to audio generation technology exemplify the innovative spirit of modern inventors. His work not only advances the field but also sets the stage for future developments in audio processing.

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