Research on the Application of Speech Recognition in Medical Clinic

Abstract

In recent years, with the development of deep learning, speech recognition has also been rapidly developed. The wide application of speech recognition facilitates our life and work. At present, clinicians bear a huge burden of clinical consultation work. The application of speech recognition in medical clinic will greatly shorten the time of clinician’s diagnosis and treatment information input, effectively improve the work efficiency of the clinician, and reduce the work burden of the clinician. This paper introduces the framework of speech recognition and the common methods of each part, and puts forward solutions to the problems faced by the application of speech recognition in medical clinic. The effectiveness of the proposed method is verified in the clinical speech recognition task of Traditional Chinese medicine. Experimental results show that the proposed method can effectively improve the accuracy of speech recognition model in TCM clinical speech recognition tasks.