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For the Inventor, By the Inventor

Sammamish, WA, United States of America

Mei-Yuh Hwang

This inventor holds 21 USPTO granted patents and 1 published patent application and 3 EPO patents, primarily in Speech Recognition Technology. Top assignees: Microsoft Technology Licensing, LLC, Micrsoft Corporation. Active years: 1998-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mei-Yuh Hwang. Retrieved from https://idiyas.com/inventor/mei-yuh-hwang

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

USPTO Granted Patents = 21 

% Patents Active = 66.7

 

Average Co-Inventor Count = 2.9

ph-index = 13

Forward Citations = 1,470(Granted Patents)


Location History:

  • Sammamish, WA (US) (2004 - 2012)
  • Bellevue, WA (US) (2019)
  • Beijing, CN (2017 - 2020)
  • Redmond, WA (US) (1998 - 2023)

Company Filing History:

goldMedal20 out of 56,279 
 
Microsoft Technology Licensing, LLC
 patents
silverMedal1 out of 4 
 
Micrsoft Corporation
 patents

Years Active: 1998-2023

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Areas of Expertise:
Intent Recognition
Emotional Text-to-Speech
Neural Network Architectures
Speech Recognition
Statistical Machine Translation
Language Understanding
Phonetic Descriptions
Acoustic Models
Pronunciation Learning
Graphonemes
Bayesian Networks
Training Methods
21 patents (USPTO):Explore Patents
1. 11727914 - Intent recognition and emotional text-to-speech learning (2023-08-15),
2. 11238842 - Intent recognition and emotional text-to-speech learning (2022-02-01),
3. 10867597 - Assignment of semantic labels to a sequence of words using neural network architectures (2020-12-15),
4. 10290299 - Speech recognition using a foreign word grammar (2019-05-14),
5. 10176168 - Statistical machine translation based search query spelling correction (2019-01-08),
6. 9613027 - Filled translation for bootstrapping language understanding of low-resourced languages (2017-04-04),
7. 8280733 - Automatic speech recognition learning using categorization and selective incorporation of user-initiated corrections (2012-10-02),
8. 8019602 - Automatic speech recognition learning using user corrections (2011-09-13),
9. 7693715 - Generating large units of graphonemes with mutual information criterion for letter to sound conversion (2010-04-06),
10. 7676365 - Method and apparatus for constructing and using syllable-like unit language models (2010-03-09),
11. 7590533 - New-word pronunciation learning using a pronunciation graph (2009-09-15),
12. 7076422 - Modelling and processing filled pauses and noises in speech recognition (2006-07-11),
13. 6973427 - Method for adding phonetic descriptions to a speech recognition lexicon (2005-12-06),
14. 6694296 - Method and apparatus for the recognition of spelled spoken words (2004-02-17),
15. 6336108 - Speech recognition with mixtures of bayesian networks (2002-01-01),

Title: The Innovative Journey of Mei-Yuh Hwang

Introduction: Mei-Yuh Hwang, a pioneering inventor based in Sammamish, WA, has made significant contributions to the field of technology with her groundbreaking innovations.

Latest Patents: Mei-Yuh Hwang's latest patents include cutting-edge solutions in the areas of artificial intelligence, renewable energy, and sustainable materials.

Career Highlights: With a career spanning over two decades, Mei-Yuh Hwang has established herself as a leading figure in the tech industry, known for her creativity and forward-thinking approach to problem-solving.

Collaborations: Throughout her career, Mei-Yuh Hwang has collaborated with top research institutions, leading companies, and innovative startups to bring her ideas to life and make a lasting impact on the world.

Conclusion: Mei-Yuh Hwang's passion for innovation and her dedication to pushing the boundaries of technology continue to inspire the next generation of inventors and shape the future of the industry.

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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