Zurich, Switzerland

Félix De Chaumont Quitry

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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4 patents (USPTO):

Title: Innovations by Félix De Chaumont Quitry

Introduction

Félix De Chaumont Quitry is a notable inventor based in Zurich, Switzerland. He has made significant contributions to the field of audio processing and machine learning. With a total of 4 patents, his work focuses on advancing technology in audio waveform generation and representation learning.

Latest Patents

Félix's latest patents include innovative methods for generating audio waveforms using encoder and decoder neural networks. This patent describes systems and apparatus for processing input audio waveforms to produce output audio waveforms. The method involves receiving an input audio waveform, processing it through an encoder neural network to create feature vectors, and then using a decoder neural network to generate the output audio waveform.

Another significant patent is centered on self-supervised audio representation learning for mobile devices. This patent outlines systems and methods for training machine-learned models using unlabeled audio signals. The process includes sampling the audio signal, inputting the samples into a machine-learned model, and training the model based on the characteristics of the audio signal.

Career Highlights

Félix De Chaumont Quitry is currently employed at Google Inc., where he continues to innovate in the field of audio technology. His work has garnered attention for its potential applications in various industries, particularly in enhancing audio processing capabilities.

Collaborations

Félix has collaborated with talented individuals such as Marco Tagliasacchi and Dominik Roblek. These collaborations have contributed to the development of cutting-edge technologies in audio processing.

Conclusion

Félix De Chaumont Quitry is a prominent inventor whose work in audio waveform generation and machine learning is paving the way for future innovations. His contributions are significant in advancing the capabilities of audio technology.

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