Bhopal, India

Mayank Sharma

This inventor holds 12 USPTO granted patents and 3 published patent applications. Top assignee: Amazon Technologies, Inc.. Active years: 2021-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mayank Sharma. Retrieved from https://idiyas.com/inventor/mayank-sharma-uch49fyq

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

USPTO Granted Patents = 12 

% Patents Active = 100.0

Average Co-Inventor Count = 3.8

ph-index = 3

Forward Citations = 16(Granted Patents)


Location History:

  • Madhya Pradesh, IN (2023)
  • Bhopal, IN (2021 - 2024)

Company Filing History:


Years Active: 2021-2025

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12 patents (USPTO):Explore Patents

Title: Innovations of Mayank Sharma

Introduction

Mayank Sharma is a notable inventor based in Bhopal, India. He has made significant contributions to the field of technology, particularly in audio processing and emotion detection. With a total of 12 patents to his name, Sharma continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Multi-task and multi-lingual emotion mismatch detection for automated dubbing." This invention describes methods and apparatus for evaluating the dubbing of media content. Emotions are identified based on combinations of attributes determined for segments of a source language audio and a dubbed audio. The emotions may be compared to determine emotional prosody transfer between the source audio and dubbed audio. Based on the comparison, a notification is generated indicating whether an emotion classification associated with the source audio matches an emotion classification associated with the dubbed audio.

Another significant patent is "Song generation using a pre-trained audio neural network." This invention outlines a computer-implemented method for extracting and identifying an audio song. An audio file can be accessed by a computing device. A set of audio categories and a set of probabilities associated with the set of audio categories can be determined for a first audio clip. A subset of the set of audio categories can be determined based on a subset of the set of probabilities. Each audio category of the subset of the set of audio categories can correspond to an audio class label. Whether the first audio clip is part of a song can be determined. The song can be defined by combining the first audio clip with other audio clips.

Career Highlights

Mayank Sharma is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop new technologies. His work has garnered attention in the tech community, and he is recognized for his contributions to audio processing and emotion detection technologies.

Collaborations

Some of his notable coworkers include Muhammad Raffay Hamid and Sandeep Joshi, who collaborate with him on various projects within the company.

Conclusion

Mayank Sharma's innovative work in audio processing and emotion detection showcases his commitment to advancing technology. His patents reflect a deep understanding of complex audio systems and their applications in real-world scenarios.

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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