Karnataka, India

Pratibha Moogi

This inventor holds 1 USPTO granted patent. Top assignee: Texas Instruments Corporation. Active years: 2008.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pratibha Moogi. Retrieved from https://idiyas.com/inventor/pratibha-moogi

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 28(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):Explore Patents

Title: Pratibha Moogi and Speech Codec Innovation.

Introduction

Pratibha Moogi is an inventor associated with Karnataka, India, and Texas Instruments Corporation. Her patent work addresses noise processing in speech codecs, which help encode and transmit speech efficiently.

Latest Patents

The provided information lists one patent for Moogi: “Noise Pre-Processor for Enhanced Variable Rate Speech Codec.” The invention improves noise estimation and voice detection by adapting channel-energy smoothing and signal-to-noise estimates. It also describes adjusting channel gain and recognizing speech patterns associated with fricative and nasal sounds. The record lists 1 patent for Moogi.

Career Highlights

Moogi’s listed invention focuses on enhancing speech quality and processing in variable-rate speech codecs. The patent describes techniques for adapting noise estimates and channel gains to changing signal conditions.

Collaborations

The provided information identifies Chanaveeragouda Virupaxagouda Goudar as a coworker. It also associates Moogi’s work with Texas Instruments Corporation.

Conclusion

Pratibha Moogi’s listed patent reflects an engineering contribution to speech codec technology, with methods designed to improve noise handling and voice detection.

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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