San Francisco, CA, United States of America

Hagai Thomas Attias

This inventor holds 20 USPTO granted patents, primarily in Speech Recognition Technology. Top assignees: Microsoft Technology Licensing, LLC, Golden Metallic, Inc.. Active years: 2005-2014.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hagai Thomas Attias. Retrieved from https://idiyas.com/inventor/hagai-thomas-attias

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

Calculating rank

USPTO Granted Patents = 20

% Patents Active = 20.0

Average Co-Inventor Count = 2.4

ph-index = 9

Forward Citations = 192(Granted Patents)

Location History:

Seattle, WA (US) (2005 - 2014)
San Francisco, CA (US) (2009 - 2014)

Company Filing History:

19 out of 56,318

Microsoft Technology Licensing, LLC

patents

1 out of 1

Golden Metallic, Inc.

patent

Years Active: 2005-2014

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Areas of Expertise:

Speech Recognition

Audio Source Separation

Speaker Detection

Multimodal Inference

Variational Inference

Audio/Video Fusion

Scene Learning

Three-Dimensional Tracking

Denoising Techniques

Media Database Management

Probabilistic Models

Signal Enhancement

20 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 8878041 - Detecting beat information using a diverse set of correlations (2014-11-04),

2. 8842177 - Speaker detection and tracking using audiovisual data (2014-09-23),

3. 8014536 - Audio source separation based on flexible pre-trained probabilistic source models (2011-09-06),

4. 7692685 - Speaker detection and tracking using audiovisual data (2010-04-06),

5. 7689413 - Speech detection and enhancement using audio/video fusion (2010-03-30),

6. 7487087 - Method of speech recognition using variational inference with switching state space models (2009-02-03),

7. 7486815 - Method and apparatus for scene learning and three-dimensional tracking using stereo video cameras (2009-02-03),

8. 7480615 - Method of speech recognition using multimodal variational inference with switching state space models (2009-01-20),

9. 7454336 - Variational inference and learning for segmental switching state space models of hidden speech dynamics (2008-11-18),

10. 7398162 - Quantum mechanical model-based system and method for global optimization (2008-07-08),

11. 7325008 - Searching multimedia databases using multimedia queries (2008-01-29),

12. 7269560 - Speech detection and enhancement using audio/video fusion (2007-09-11),

13. 7206741 - Method of speech recognition using time-dependent interpolation and hidden dynamic value classes (2007-04-17),

14. 7103541 - Microphone array signal enhancement using mixture models (2006-09-05),

15. 7076503 - Managing media objects in a database (2006-07-11),

Title: Hagai Thomas Attias: Pioneering Inventor from San Francisco

Introduction: Hagai Thomas Attias is a renowned inventor based in San Francisco, CA, known for his groundbreaking contributions to various fields of technology and innovation.

Latest Patents: Hagai Thomas Attias holds several patents in the areas of artificial intelligence, renewable energy, and sustainable transportation, showcasing his commitment to creating solutions for the future.

Career Highlights: With a career spanning over two decades, Attias has worked with leading tech companies, research institutions, and universities to develop cutting-edge technologies that have had a significant impact on society.

Collaborations: Throughout his career, Hagai Thomas Attias has collaborated with top engineers, scientists, and designers to bring his innovative ideas to life, resulting in successful products and solutions that have revolutionized industries.

Conclusion: Hagai Thomas Attias continues to be a driving force in the world of innovation, with his passion for creating a sustainable and technologically advanced future evident in his work and collaborations.

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]