现代信息科技2024，Vol.8Issue(24)：61-65,5.DOI:10.19850/j.cnki.2096-4706.2024.24.013
基于YAMNet迁移学习的智能手术语音识别研究
Research on Intelligent Surgical Speech Recognition Based on YAMNet Transfer Learning
摘要
Abstract
With the continuous advancements in Artificial Intelligence technology,as a key technology in Artificial Intelligence technology field,speech recognition technology can help doctors and nurses communicate and operate more efficiently.This paper proposes an intelligent surgical speech recognition method based on the YAMNet model and Transfer Learning network.By Transfer Learning technology,it applies the YAMNet model to surgical speech recognition tasks,realizing automatic speech recognition during the counting of surgical instruments.Firstly,speech data of commonly used surgical instruments during the counting process is collected.Secondly,the network model after Transfer Learning,is trained using the training set.Finally,the network model is validated by the validation set.Experimental results show that the proposed method achieves significant performance in intelligent surgical speech recognition tasks,with a recognition accuracy rate of 97%,providing new ideas and methods for the development of intelligent surgical systems.关键词
语音识别/YAMNet/迁移学习/手术清点Key words
speech recognition/YAMNet/Transfer Learning/counting of surgical instruments分类
信息技术与安全科学引用本文复制引用
孙文业,徐伟,汪春亮..基于YAMNet迁移学习的智能手术语音识别研究[J].现代信息科技,2024,8(24):61-65,5.基金项目
苏大附二院科研预研基金项目(SDFEYQN2020) （SDFEYQN2020）
苏州市医学重点扶持学科(SZFCXK202144) （SZFCXK202144）
苏州市科技计划项目(2022SS03) （2022SS03）
