Yuan Shangguan

Title: Innovations by Yuan Shangguan in Automatic Speech Recognition

Introduction

Yuan Shangguan is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of automatic speech recognition (ASR). His innovative work focuses on reducing latency in ASR systems, which is crucial for enhancing user experience in voice-activated technologies.

Latest Patents

Yuan holds a patent for "Adaptive beam pruning for automatic speech recognition." This patent describes a reduced latency system that utilizes specific feature values to estimate the distance of the lowest scoring node from a potential node likely to be part of the Viterbi path. By adjusting the beam width accordingly, the system effectively prunes unnecessary nodes, thereby reducing latency. The feature values and estimated distances are derived from a training dataset, allowing the system to dynamically adjust settings such as the threshold number of active nodes during runtime.

Career Highlights

Yuan Shangguan is currently employed at Amazon Technologies, Inc., where he continues to develop cutting-edge technologies in the realm of speech recognition. His work is instrumental in improving the efficiency and responsiveness of ASR systems, which are increasingly integrated into various applications and devices.

Collaborations

Yuan collaborates with Denis Sergeyevich Filimonov, contributing to the advancement of technologies that enhance automatic speech recognition capabilities.

Conclusion

Yuan Shangguan's innovative contributions to automatic speech recognition demonstrate his expertise and commitment to advancing technology in this field. His patent on adaptive beam pruning is a testament to his ability to solve complex problems and improve user experiences in voice recognition systems.