Brookline, MA, United States of America

Siyong Liang


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: The Innovations of Siyong Liang

Introduction

Siyong Liang is an accomplished inventor based in Brookline, MA. He has made significant contributions to the field of technology, particularly in the area of entity resolution using acoustic data. His work has implications for improving the accuracy of speech recognition systems.

Latest Patents

Siyong Liang holds a patent for a phonetic search system that enhances entity resolution by passing phonetic information from an automatic speech recognition (ASR) system to a natural language understanding (NLU) system. This innovative approach addresses challenges faced by ASR/NLU systems when interpreting speech, especially in cases of ambiguous interpretations such as homographs. The system utilizes an acoustic model to process audio data and generate hypotheses, which are then mapped to acoustic units like phonemes. The language model further processes these units to produce text data representing possible transcriptions of the audio data. This patent demonstrates Liang's commitment to advancing technology in the realm of speech recognition.

Career Highlights

Siyong Liang is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in technology. His work at Amazon has allowed him to collaborate with other talented professionals in the field, contributing to the company's reputation for cutting-edge advancements.

Collaborations

Liang has worked alongside notable colleagues such as James Claiborne Moore and Majid Laali. These collaborations have fostered an environment of innovation and creativity, further enhancing the impact of their collective work.

Conclusion

Siyong Liang's contributions to the field of technology, particularly through his patent on entity resolution using acoustic data, highlight his role as a significant inventor. His work not only addresses current challenges in speech recognition but also paves the way for future advancements in the industry.

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