San Jose, CA, United States of America

Taejin Park

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Taejin Park: Innovator in Speaker Recognition Technology

Introduction

Taejin Park is a prominent inventor based in San Jose, CA, known for his contributions to the field of conversational AI systems. With a focus on machine learning and neural networks, he has developed innovative techniques that enhance speaker identification and verification processes.

Latest Patents

Taejin Park holds 1 patent for his work titled "Speaker identification, verification, and diarization using neural networks for conversational AI systems and applications." This patent discloses various apparatuses, systems, and techniques that utilize machine learning to implement speaker recognition, verification, and diarization. The techniques involve applying a neural network to speech data to obtain a speaker embedding that represents the association between the speech data and the speaker. The neural network comprises multiple blocks of neurons, with one branch performing convolutions across the speech data's channels and frames, while the second branch focuses on channel-specific convolutions. The resulting speaker embeddings can be employed for various tasks related to speaker identification, verification, and diarization.

Career Highlights

Taejin Park is currently employed at Nvidia Corporation, where he continues to push the boundaries of AI technology. His work has significantly impacted the development of advanced conversational systems, making them more efficient and accurate in recognizing and verifying speakers.

Collaborations

Throughout his career, Taejin has collaborated with talented individuals such as Nithin Rao Koluguri and Boris Ginsburg, contributing to the advancement of innovative technologies in the field.

Conclusion

Taejin Park's contributions to speaker recognition technology exemplify the potential of machine learning in enhancing conversational AI systems. His innovative approaches and dedication to research continue to shape the future of this exciting field.

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