Somerville, MA, United States of America

Thibaud Senechal

USPTO Granted Patents = 7 

Average Co-Inventor Count = 5.6

ph-index = 5

Forward Citations = 52(Granted Patents)


Company Filing History:


Years Active: 2016-2022

where 'Filed Patents' based on already Granted Patents

7 patents (USPTO):

Title: Thibaud Senechal: Innovator in Wakeword Detection Technology

Introduction

Thibaud Senechal is a prominent inventor based in Somerville, MA, known for his contributions to the field of audio processing and wakeword detection technology. With a total of seven patents to his name, Senechal has made significant strides in enhancing user-device interactions through innovative neural network models.

Latest Patents

Senechal's latest patents focus on advanced methods for wakeword detection using neural networks. One of his notable inventions is a system that performs wakeword detection utilizing a feedforward neural network model. This model provides outputs indicating the presence of a wakeword in different sections of input audio data, allowing for precise determination of the wakeword's beginpoint and endpoint. Another significant patent involves training a neural network model to map various words represented in audio data to distinct points in an N-dimensional embedding space. This technology enables user devices to recognize wakewords and initiate further audio processing, such as automatic speech recognition or natural-language understanding.

Career Highlights

Thibaud Senechal is currently employed at Amazon Technologies, Inc., where he continues to develop cutting-edge technologies that enhance user experience. His work has positioned him as a key player in the field of audio processing and artificial intelligence.

Collaborations

Senechal has collaborated with notable colleagues, including Shiv Naga Prasad Vitaladevuni and Anish N Shah, contributing to the advancement of innovative technologies in their field.

Conclusion

Thibaud Senechal's work in wakeword detection technology exemplifies the impact of innovation in enhancing user-device interactions. His contributions continue to shape the future of audio processing and artificial intelligence.

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