Rehovot, Israel

Netanel Ehrmann

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Yeda Research and Develpment & Co. Ltd. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Netanel Ehrmann. Retrieved from https://idiyas.com/inventor/netanel-ehrmann

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


% Patents Active = 100.0

 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Netanel Ehrmann: Innovator in Speech Recognition Technology.

Introduction

Netanel Ehrmann is a prominent inventor based in Rehovot, Israel. He has made significant contributions to the field of speech recognition technology. His innovative work focuses on extracting linguistic content from speech prosody, which has important applications in various domains.

Latest Patents

Netanel holds a patent for a prosodic speech recognition engine. This engine is designed to identify prosodic features and patterns in a speech continuum. It enables the extraction of linguistic content, including para-syntactic content, discourse function, information structure, meaning, and speaker sentiment. This patent showcases his expertise in advancing speech recognition capabilities.

Career Highlights

Netanel is associated with Yeda Research and Development Company Ltd. His work at this esteemed organization has allowed him to explore and develop cutting-edge technologies in speech processing. His contributions have been recognized within the research community, highlighting his role as an influential inventor.

Collaborations

Netanel has collaborated with notable colleagues, including Elisha Moses and Tirza Biron. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Netanel Ehrmann's work in speech recognition technology exemplifies the impact of innovative thinking in addressing complex challenges. His contributions continue to shape the future of linguistic content extraction from speech.

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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