Design and implementation of intelligent speech assistant for clinical diagnosis and treatment of traditional Chinese medicine based on speech recognition

Corresponding author: YANG Tao, yangtao@njucm.edu.cn

DOI: 10.12201/bmr.202110.00013

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  Abstract: — The study explores the research and application of intelligent speech recognition technology in data collection of clinical diagnosis and treatment of Chinese medicine. Our study establishes TCM clinical diagnosis and treatment intelligent speech assistant through analyzing and comparing medical language recognition technologies and methods at home and abroad, optimizing technical schemes, building TCM clinical corpus, designing TCM language recognition model. Our study tries to realize noise reduction input and accurate recognition of TCM clinical diagnosis and treatment speech in order to improve TCM diagnosis and treatment efficiency. It has a certain application prospect and potential value for the development of clinical intelligence of traditional Chinese medicine.

  Key words: —Chinese; medicine clinical, Speech; recognition, Speech; assistant

  Submit time: 3 November 2021

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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