Portland, OR, United States of America

Akash Krishnan

USPTO Granted Patents = 3 

Average Co-Inventor Count = 2.0

ph-index = 3

Forward Citations = 26(Granted Patents)


Company Filing History:


Years Active: 2013-2017

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3 patents (USPTO):Explore Patents

Title: Akash Krishnan: Innovator in Adaptive Voice Interaction

Introduction

Akash Krishnan is a prominent inventor based in Portland, OR (US). He has made significant contributions to the field of voice interaction technology. With a total of 3 patents to his name, Krishnan is recognized for his innovative approaches to understanding and responding to human emotions through voice communication.

Latest Patents

One of his latest patents is titled "Methods for Adaptive Voice Interaction." This method involves monitoring voice communications between a service recipient and a service representative. It includes measuring a set of voice communication features based on these interactions, analyzing the features to generate emotion metric values, and generating a response based on this analysis. Another notable patent is "System and Method for Recognizing Emotional State from a Speech Signal." This computerized method utilizes statistical and MFCC features extracted from speech signals to recognize emotions. The method compares these features to reference samples and assigns a probable emotional state to the speech signal, which is then communicated to the user.

Career Highlights

Krishnan currently works at Simple Emotion, Inc., where he continues to develop innovative solutions in voice interaction technology. His work focuses on enhancing user experience through emotional recognition and adaptive responses.

Collaborations

He collaborates with Matthew Fernandez, contributing to the advancement of their projects and sharing insights in their field of expertise.

Conclusion

Akash Krishnan is a key figure in the realm of adaptive voice interaction, with a focus on emotional recognition technology. His patents reflect a commitment to improving communication between humans and machines.

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