Speech Recognition in an E-Health Report

Abstract

The one task doctors complain about most is filling out the electronic health record because on average a doctor see 20.2 patients a day. Every time a doctor sees a patient, they must take notes for medical records. So our project is to design user interface that will capture the voice based summary report from the doctor and convert it into text using Natural Language Processing and send the summary report to the respective patient. There has been a significant amount of study into the use of machine learning for speech processing applications, particularly voice recognition, over the last few decades. In recent years, however, research has centred on using deep learning for speech-related applications. This new branch of artificial intelligence has outperformed others in a range of applications, including voice, and has thus become a particularly appealing study topic. This study examines the various studies that have been undertaken for voice applications since natural language processing was initially introduced as a new area of artificial intelligence.