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For the Inventor, By the Inventor

White Plains, NY, United States of America

Michael Alan Picheny

USPTO Granted Patents = 68 


Average Co-Inventor Count = 3.9

ph-index = 28

Forward Citations = 4,239(Granted Patents)

DiyaCoin DiyaCoin = 0.57 


Inventors with similar research interests:


Company Filing History:

goldMedal60 out of 164,108 
 
International Business Machines Corporation
 patents
silverMedal8 out of 1,422 
 
Nuance Communications, Inc.
 patents
bronzeMedal1 out of 1 
 
Oipenn, Inc.
 patent
4. 1 out of 5 
 
Toyota Technological Institute at Chicago
 patents
where one patent can have more than one assignee

Years Active: 1988-2024

where 'Filed Patents' based on already Granted Patents

68 patents (USPTO):
1. 11900922 - Multilingual intent recognition (2024-02-13),
2. 11587551 - Leveraging unpaired text data for training end-to-end spoken language understanding systems (2023-02-21),
3. 11250872 - Using closed captions as parallel training data for customization of closed captioning systems (2022-02-15),
4. 11183194 - Detecting and recovering out-of-vocabulary words in voice-to-text transcription systems (2021-11-23),
5. 11158303 - Soft-forgetting for connectionist temporal classification based automatic speech recognition (2021-10-26),
6. 11094322 - Optimizing speech to text conversion and text summarization using a medical provider workflow model (2021-08-17),
7. 10902843 - Using recurrent neural network for partitioning of audio data into segments that each correspond to a speech feature cluster identifier (2021-01-26),
8. 10839792 - Recognition of out-of-vocabulary in direct acoustics-to-word speech recognition using acoustic word embedding (2020-11-17),
9. 10726844 - Smart medical room optimization of speech recognition systems (2020-07-28),
10. 10546575 - Using recurrent neural network for partitioning of audio data into segments that each correspond to a speech feature cluster identifier (2020-01-28),
11. 10510348 - Smart medical room optimization of speech recognition systems (2019-12-17),
12. 10249292 - Using long short-term memory recurrent neural network for speaker diarization segmentation (2019-04-02),
13. 9704482 - Method and system for order-free spoken term detection (2017-07-11),
14. 9697830 - Method and system for order-free spoken term detection (2017-07-04),
15. 9195650 - Translating between spoken and written language (2015-11-24),

Sure, I can assist with crafting an article about inventor Michael Alan Picheny.

Title: Unveiling the Innovations of Michael Alan Picheny

Introduction:

Michael Alan Picheny, a brilliant inventor based in White Plains, NY, has made significant contributions to the field of computer-implemented technologies. With an impressive portfolio of 68 patents, Picheny is known for his groundbreaking work in multilingual intent recognition and leveraging unpaired text data for training end-to-end spoken language understanding systems.

Latest Patents:

Picheny's latest patents showcase his prowess in developing cutting-edge technologies. His work on multilingual intent recognition encompasses accessing and training neural networks based on speech to text data from diverse languages. Additionally, his innovation in leveraging unpaired text data for training end-to-end spoken language understanding systems revolutionizes the process of classifying speech using semantic labels.

Career Highlights:

Throughout his career, Picheny has honed his expertise while working at esteemed organizations such as IBM and Nuance Communications, Inc. His professional journey reflects a deep commitment to innovation and excellence in the realm of technology and artificial intelligence.

Collaborations:

In his pursuit of innovation, Picheny has collaborated closely with industry experts like David Nahamoo and Lalit R. Bahl. These collaborations have not only enriched his projects but have also paved the way for pioneering advancements in the field of computational linguistics.

Conclusion:

Michael Alan Picheny's remarkable achievements in the realm of technology underscore his dedication to pushing the boundaries of innovation. His inventive solutions in multilingual intent recognition and spoken language understanding systems stand as testaments to his ingenuity and foresight in an ever-evolving technological landscape.

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