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For the Inventor, By the Inventor

Maccabim, Israel

Moshe Wasserblat

This inventor holds 37 USPTO granted patents and 6 published patent applications and 1 EPO patent, primarily in Speech Recognition Technology. Top assignees: Nice Systems Ltd., Intel Corporation, Nice Ltd. Active years: 2008-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Moshe Wasserblat. Retrieved from https://idiyas.com/inventor/moshe-wasserblat

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

USPTO Granted Patents = 37 

% Patents Active = 89.2

 

Average Co-Inventor Count = 3.7

ph-index = 14

Forward Citations = 1,200(Granted Patents)


Location History:

  • Modein, IL (2008 - 2011)
  • Modiin, IL (2009 - 2013)
  • Makabim, IL (2014 - 2016)
  • Maccabim, IL (2012 - 2023)

Company Filing History:

goldMedal25 out of 149 
 
Nice Systems Ltd.
 patents
silverMedal9 out of 56,322 
 
Intel Corporation
 patents
bronzeMedal1 out of 301 
 
Nice Ltd
 patents
4. 2 out of 834,513 
Other
 patents

Years Active: 2008-2026

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Areas of Expertise:
Deep Learning
Speech Model Personalization
End-of-Sentence Detection
Speaker Segmentation
Phonetic Indexing
Emotion Detection
Interaction Analysis
Fraud Detection
Audio Analysis
Language Identification
Quality Evaluation
Acoustic Sources
37 patents (USPTO):Explore Patents
1. 12711946 - SPEECH MODEL PERSONALIZATION VIA AMBIENT CONTEXT HARVESTING (2026-08-18),
2. 12688422 - Generating pretrained sparse student model for transfer learning (2026-07-21),
3. 12393824 - Methods and apparatus for a knowledge-based deep learning refactoring model with tightly integrated functional nonparametric memory (2025-08-19),
4. 11776530 - Speech model personalization via ambient context harvesting (2023-10-03),
5. 10418028 - Technologies for end-of-sentence detection using syntactic coherence (2019-09-17),
6. 10242670 - Syntactic re-ranking of potential transcriptions during automatic speech recognition (2019-03-26),
7. 9858923 - Dynamic adaptation of language models and semantic tracking for automatic speech recognition (2018-01-02),
8. 9837069 - Technologies for end-of-sentence detection using syntactic coherence (2017-12-05),
9. 9711167 - System and method for real-time speaker segmentation of audio interactions (2017-07-18),
10. 9591349 - Interactive binocular video display (2017-03-07),
11. 9430800 - Method and apparatus for trade interaction chain reconstruction (2016-08-30),
12. 9418152 - System and method for flexible speech to text search mechanism (2016-08-16),
13. 9311914 - Method and apparatus for enhanced phonetic indexing and search (2016-04-12),
14. 9245523 - Method and apparatus for expansion of search queries on large vocabulary continuous speech recognition transcripts (2016-01-26),
15. 9093081 - Method and apparatus for real time emotion detection in audio interactions (2015-07-28),

Title: Moshe Wasserblat - Innovative Inventor from Maccabim

Introduction: Moshe Wasserblat is a renowned inventor hailing from Maccabim, Israel, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Wasserblat's latest patents include cutting-edge solutions in the realm of renewable energy, artificial intelligence, and sustainable agriculture, showcasing his versatility and forward-thinking approach.

Career Highlights: With a career spanning over two decades, Moshe Wasserblat has established himself as a pioneer in the tech industry, with numerous successful inventions that have revolutionized various sectors.

Collaborations: Throughout his career, Wasserblat has collaborated with leading research institutions, universities, and tech companies worldwide, fostering a culture of innovation and knowledge-sharing within the industry.

Conclusion: Moshe Wasserblat's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and entrepreneurs, solidifying his legacy as a true visionary in the world of technology.

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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