Anhui, China

Qingfeng Liu


 

Average Co-Inventor Count = 5.7

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Hefei, CN (2017)
  • Anhui, CN (2016 - 2021)

Company Filing History:


Years Active: 2016-2025

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5 patents (USPTO):Explore Patents

Title: Qingfeng Liu: Innovator in Speech Recognition Technology

Introduction

Qingfeng Liu is a prominent inventor based in Anhui, China, known for his contributions to the field of speech recognition technology. With a total of five patents to his name, Liu has made significant advancements that enhance the way machines understand and process human speech.

Latest Patents

Among his latest patents, Liu has developed a speech recognition method, apparatus, and device, along with a storage medium. This innovative method involves acquiring a to-be-recognized speech and utilizing a configured hot word library. It determines an audio-related feature at the current decoding time instant and subsequently identifies a hot word-related feature from the hot word library. The culmination of this process results in a recognition outcome for the to-be-recognized speech. Additionally, he has patented a method for recognizing characters, which includes obtaining a character and converting it into a radical-based character recognition result. This result comprises symbols indicating the radicals of the character and their structure, allowing for effective character recognition.

Career Highlights

Liu has worked with notable organizations, including Iflytek Co., Ltd. and the University of Science and Technology of China. His work in these institutions has allowed him to collaborate on various projects that push the boundaries of speech recognition technology.

Collaborations

Some of his notable coworkers include Guoping Hu and Si Wei, who have contributed to his research and development efforts in the field.

Conclusion

Qingfeng Liu's innovative work in speech recognition technology has positioned him as a key figure in the industry. His patents reflect a commitment to advancing how machines interact with human language, paving the way for future developments in this essential field.

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