Fremont, CA, United States of America

Gyan Shankar

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Oracle International Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gyan Shankar. Retrieved from https://idiyas.com/inventor/gyan-shankar

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Gyan Shankar: Innovator in Audio De-identification Technology

Introduction

Gyan Shankar is a notable inventor based in Fremont, CA (US). He has made significant contributions to the field of audio processing, particularly in the area of de-identifying sensitive information in conversational audio data. His innovative approach combines advanced techniques to enhance privacy and security in audio communications.

Latest Patents

Gyan Shankar holds a patent for an invention titled "Automatic De-identification of Sensitive Conversational Audio Data." This patent discloses techniques for automatically de-identifying sensitive information in audio conversations by integrating un-transcribed voice activity detection (VAD) with large language model (LLM) analysis. The audio de-identification system processes speech-to-text transcriptions while identifying segments where automatic speech recognition (ASR) has failed to transcribe spoken content. These un-transcribed segments are represented as placeholders in prompts sent to an LLM, which analyzes the surrounding textual context to determine if sensitive information, such as personally identifiable information (PII) or protected health information (PHI), was likely spoken during these gaps. When sensitive content is identified, the system modifies the corresponding audio segments through an audio identification tactic. This approach effectively addresses the technical challenge of incomplete de-identification in automated audio processing by leveraging LLMs' contextual understanding to detect sensitive information in segments that traditional ASR systems miss, particularly in scenarios involving poor audio quality or diverse accents. The result is a more comprehensive and reliable audio de-identification system.

Career Highlights

Gyan Shankar is currently employed at Oracle International Corporation, where he continues to develop innovative solutions in audio processing and data privacy. His work has positioned him as a key figure in the advancement of technologies that protect sensitive information in audio communications.

Collaborations

Some of Gyan's coworkers include Neil Jonathon Hauge and Irfan Bulu, who contribute to the collaborative environment at Oracle International Corporation.

Conclusion

Gyan Shankar's contributions to audio de-identification technology exemplify the importance of innovation in protecting sensitive information. His work not only enhances privacy but also sets a new standard for audio processing systems.

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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