Company Filing History:

7 out of 164,108

International Business Machines Corporation

patents

4 out of 1,422

Nuance Communications, Inc.

patents

Years Active: 2007-2022

where 'Filed Patents' based on already Granted Patents

11 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11397856 - Phonetic patterns for fuzzy matching in natural language processing (2022-07-26),

2. 10546062 - Phonetic patterns for fuzzy matching in natural language processing (2020-01-28),

3. 10216385 - Group radio control (2019-02-26),

4. 9098149 - Group radio control (2015-08-04),

5. 8849669 - System for tuning synthesized speech (2014-09-30),

6. 8438032 - System for tuning synthesized speech (2013-05-07),

7. 8027437 - System and method for improving message delivery in voice systems utilizing microphone and target signal-to-noise ratio (2011-09-27),

8. 7853452 - Interactive debugging and tuning of methods for CTTS voice building (2010-12-14),

9. 7487092 - Interactive debugging and tuning method for CTTS voice building (2009-02-03),

10. 7475016 - Speech segment clustering and ranking (2009-01-06),

11. 7280967 - Method for detecting misaligned phonetic units for a concatenative text-to-speech voice (2007-10-09),

Title: Innovations of Jie Z Zeng

Introduction

Jie Z Zeng is a notable inventor based in Palmetto Bay, FL (US). He has made significant contributions to the field of natural language processing, holding a total of 11 patents. His work focuses on developing innovative solutions that enhance the efficiency and accuracy of language processing systems.

Latest Patents

One of Jie Z Zeng's latest patents involves phonetic patterns for fuzzy matching in natural language processing. In this invention, a token is extracted from a natural language input. A phonetic pattern is computed corresponding to the token, which includes a sound pattern that represents a part of the token when spoken. New data is created from the phonetic pattern, including a syllable sequence corresponding to it. The state of a data storage device is changed by storing this new data in a matrix of syllable sequences corresponding to the token. An option that corresponds to the token is selected by executing a fuzzy matching algorithm using a processor and memory, with the selection based on a syllable sequence in the matrix.

Career Highlights

Throughout his career, Jie Z Zeng has worked with prominent companies such as IBM and Nuance Communications, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking advancements in technology.

Collaborations

Some of his notable coworkers include Maria Elena Smith and Philip Gleason. Their collaboration has likely fostered an environment of innovation and creativity in their respective projects.

Conclusion

Jie Z Zeng's contributions to natural language processing and his impressive portfolio of patents highlight his role as a leading inventor in the field. His work continues to influence advancements in technology and language processing systems.

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