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For the Inventor, By the Inventor

Fremont, CA, United States of America

Mitchel Weintraub

This inventor holds 7 USPTO granted patents. Top assignee: Sri International. Active years: 1992-2001.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mitchel Weintraub. Retrieved from https://idiyas.com/inventor/mitchel-weintraub-bg5omoso

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

Calculating rank
USPTO Granted Patents = 7

% Patents Active = 100.0

Average Co-Inventor Count = 2.5

ph-index = 7

Forward Citations = 832(Granted Patents)


Company Filing History:

goldMedal7 out of 1,361 
 
Sri International
 patents

Years Active: 1992-2001

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7 patents (USPTO):Explore Patents
1. 6226611 - Method and system for automatic text-independent grading of pronunciation for language instruction (2001-05-01),
2. 6055498 - Method and apparatus for automatic text-independent grading of (2000-04-25),
3. 5950157 - Method for establishing handset-dependent normalizing models for speaker (1999-09-07),
4. 5842163 - Method and apparatus for computing likelihood and hypothesizing keyword (1998-11-24),
5. 5581655 - Method for recognizing speech using linguistically-motivated hidden (1996-12-03),
6. 5268990 - Method for recognizing speech using linguistically-motivated hidden (1993-12-07),
7. 5148489 - Method for spectral estimation to improve noise robustness for speech (1992-09-15),

Title: Mitchel Weintraub: Innovator in Language Instruction Technology

Introduction

Mitchel Weintraub is a notable inventor based in Fremont, CA (US). He has made significant contributions to the field of language instruction technology, holding a total of 7 patents. His work focuses on improving the evaluation of pronunciation quality in language learning environments.

Latest Patents

One of his latest patents is a method and system for automatic text-independent grading of pronunciation for language instruction. This innovative approach allows for the automatic evaluation of pronunciation quality based on various pronunciation scores. These scores are derived from the duration of acoustic units, such as phones and syllables. Additionally, another type of pronunciation score is based on the posterior probability that a piece of input speech corresponds to a specific model, such as a hidden Markov model (HMM). The system segments speech into phones and syllables for evaluation, allowing for the assessment of arbitrary utterances that may not have been encountered before. Ultimately, the pronunciation scores are converted into grades similar to those assigned by human graders, enhancing the learning experience in client-server language instruction environments.

Career Highlights

Mitchel Weintraub is currently employed at SRI International, where he continues to develop and refine his innovative technologies. His work has had a profound impact on the way language instruction is approached, particularly in the realm of automated grading systems.

Collaborations

Some of his notable coworkers include Patti J Price and Leonardo Neumeyer, who contribute to the collaborative environment at SRI International.

Conclusion

Mitchel Weintraub's contributions to language instruction technology through his patents and work at SRI International highlight his role as an influential inventor in this field. His innovative methods for evaluating pronunciation quality are paving the way for advancements in language learning.

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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