Research on Intelligent Surgical Speech Recognition Based on YAMNet Transfer Learning
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.
speech recognitionYAMNetTransfer Learningcounting of surgical instruments
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