Yuhui Chen

Title: Yuhui Chen: Innovator in Acoustic Echo Cancellation

Introduction

Yuhui Chen is a prominent inventor based in San Jose, CA, known for his contributions to the field of audio technology. He holds a total of 6 patents, showcasing his innovative approach to improving audio quality in various applications.

Latest Patents

One of his latest patents is focused on machine-learning assisted acoustic echo cancellation. This invention provides methods and systems designed to enhance audio quality for online audio and video conferences. The system utilizes a pre-trained machine-learning AI model to detect a unitary voice signal, distinguishing it from multiple speakers. Additionally, a digital signal processing algorithm assesses the echo state, allowing the system to automatically apply either a default or a more aggressive mode of acoustic echo cancellation based on the detected characteristics.

Another significant patent by Chen involves target speaker extraction. This system analyzes audio frames to determine whether they contain a single speaker or multiple speakers. If a single speaker is detected, the system suppresses the speech of non-target speakers by comparing the audio frame to a voiceprint of the target speaker. In cases with multiple speakers, the system employs a speech separation model to isolate the target speaker's voice from the mixture.

Career Highlights

Yuhui Chen has worked with notable companies such as Zoom Video Communications, Inc. and Zoom Communications, Inc. His experience in these organizations has allowed him to apply his innovative ideas in real-world applications, particularly in enhancing communication technologies.

Collaborations

Throughout his career, Chen has collaborated with talented individuals, including Jiachuan Deng and Oded Gal. These partnerships have contributed to the development of advanced audio technologies and have fostered a collaborative environment for innovation.

Conclusion

Yuhui Chen's work in acoustic echo cancellation and target speaker extraction demonstrates his commitment to improving audio quality in communication technologies. His patents reflect a deep understanding of machine learning and digital signal processing, making significant contributions to the field.