Lawrenceville, NJ, United States of America

Guangming Ling


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):

Title: Innovations of Guangming Ling in Speech Scoring Systems

Introduction

Guangming Ling is an accomplished inventor based in Lawrenceville, NJ (US). He has made significant contributions to the field of speech recognition and scoring systems. His innovative approach addresses the challenges faced by non-native speakers in speech evaluation.

Latest Patents

Guangming Ling holds a patent for "Non-scorable response filters for speech scoring systems." This patent outlines a method for scoring non-native speech by receiving a speech sample and performing automatic speech recognition and metric extraction. The process generates a transcript and a speech metric associated with the sample. The method determines whether the speech sample is scorable or non-scorable based on various factors, including audio quality, speech amount, topic relevance, language correctness, and potential plagiarism. If deemed non-scorable, an indication is associated with the sample, while scorable samples are sent to a scoring model for evaluation.

Career Highlights

Guangming Ling is currently employed at Educational Testing Service, where he applies his expertise in developing advanced speech scoring technologies. His work has a profound impact on the assessment of non-native speakers, enhancing the accuracy and fairness of speech evaluations.

Collaborations

Guangming collaborates with talented colleagues, including Su-Youn Yoon and Derrick Higgins. Their combined efforts contribute to the advancement of innovative solutions in the field of educational testing.

Conclusion

Guangming Ling's contributions to speech scoring systems exemplify the intersection of technology and education. His patent and work at Educational Testing Service highlight his commitment to improving the assessment of non-native speakers. His innovations pave the way for more effective and equitable speech evaluation methods.

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