Staines, United Kingdom

Agnieszka Dobrowolska

This inventor holds 1 USPTO granted patent. Top assignee: Samsung Electronics Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Agnieszka Dobrowolska. Retrieved from https://idiyas.com/inventor/agnieszka-dobrowolska

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Agnieszka Dobrowolska: Innovator in Speech Recognition Technology

Introduction

Agnieszka Dobrowolska is a prominent inventor based in Staines, GB. She has made significant contributions to the field of speech recognition technology. Her innovative approach has led to the development of a unique method that enhances the robustness of audio recognition systems.

Latest Patents

Agnieszka holds 1 patent for her invention titled "Patched multi-condition training for robust speech recognition." This patent discloses a method for obtaining a patched signal for training a model used in speech and audio recognition. The method involves obtaining a first signal, modifying it to create a second signal, and dividing both signals into patches. By mixing selected patches, the method aims to improve the performance of recognition systems.

Career Highlights

Agnieszka is currently employed at Samsung Electronics Ltd., where she continues to push the boundaries of technology. Her work focuses on developing advanced solutions that enhance user experience in audio and speech applications.

Collaborations

Agnieszka has collaborated with notable colleagues, including Pablo Peso Parada and Karthikeyan Saravanan. These partnerships have fostered innovation and contributed to the success of her projects.

Conclusion

Agnieszka Dobrowolska is a trailblazer in the field of speech recognition, with her innovative patent showcasing her expertise. Her contributions to technology continue to shape the future of audio recognition systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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