Kenmore, WA, United States of America

Qi Miao


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):

Title: Innovations by Inventor Qi Miao in Speech Recognition Error Diagnosis

Introduction: Qi Miao is an innovative inventor based in Kenmore, WA, USA, recognized for his significant contributions to the field of speech recognition technology. With one patent to his name, Miao has transformed how speech recognition errors are diagnosed, making strides in accuracy and efficiency.

Latest Patents: Qi Miao holds a notable patent related to "Speech recognition error diagnosis." This patent encompasses advanced techniques and technologies aimed at diagnosing errors within speech recognition systems. The system described includes an error detection module that identifies at least partially erroneous results, as well as a recognition error diagnostics module. This module performs comprehensive analyses to categorize recognition errors effectively, enhancing the reliability of speech recognition technologies.

Career Highlights: Qi Miao is currently associated with Microsoft Technology Licensing, LLC, where he contributes to pioneering technologies in the realm of speech recognition. His work underlines the importance of accurate speech recognition systems, emphasizing the need for effective error diagnostics.

Collaborations: In his pursuit of innovation, Qi Miao collaborates with esteemed peers, including his coworkers Shiun-Zu Kuo and Thomas Reutter. These collaborations facilitate the exchange of ideas and expertise, further driving advancements in speech recognition technology.

Conclusion: Qi Miao’s dedication to improving speech recognition error diagnosis exemplifies the innovative spirit that drives progress in technology today. His patent highlights the intersections of usability and functionality, reinforcing the potential for enhanced communication tools in various applications. Through his work, Qi Miao continues to make significant contributions to the field, paving the way for future developments in speech recognition technologies.

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