Karnataka, India

George Jose


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by George Jose in Wakeword Detection Technology

Introduction

George Jose is an accomplished inventor based in Karnataka, India, known for his innovative contributions to the field of virtual personal assistants (VPAs). With a focus on enhancing wakeword detection, George has developed a novel patent that addresses challenges posed by background noise and unseen environments, improving the overall experience of users interacting with technology.

Latest Patents

George Jose holds a patent for a system and method designed for robust wakeword detection in the presence of noise in new unseen environments without the need for additional data. The core of this innovation lies in the use of deep neural networks, specifically incorporating a parametric pooling layer. This layer features trainable parameters that allow it to effectively identify informative feature vectors while filtering out non-informative or noisy data extracted from variable length acoustic signals. By aggregating these weighted feature vectors into an embedding vector, George's invention significantly enhances the accuracy of wakeword detection, making VPAs more responsive and reliable.

Career Highlights

George is currently employed at Harman International Industries, Inc., where he continues to innovate in the realm of sound technology and enhancements in user interaction through VPAs. His work is a testament to his commitment to pushing the boundaries of voice recognition technology.

Collaborations

George collaborates with talented professionals including Jigar Mistry and Aashish Kumar. Together, they work towards revolutionizing sound recognition systems, sharing knowledge and expertise to tackle complex challenges in their field.

Conclusion

In conclusion, George Jose stands out as an influential inventor whose patent for robust wakeword detection technology showcases his dedication to improving user experience in virtual personal assistants. His innovative approach involving deep neural networks and parametric pooling layers is set to pave the way for more responsive and effective voice-activated systems in the future.

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