Automatic Speech Recognition in Hospitals

Jure Frantar (2018) Automatic Speech Recognition in Hospitals. EngD thesis.

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Abstract

To achieve the easier work organization and greater transparency over the work of medical staff, we have been installing touch-sensitive Android terminals in medical institutions for quite some time. The terminals have installed customized applications that serve as an assistance to the working process. Their main task is to present actual events, information and record the services that employees provide to patients. However, when providing services, employees often need the help of an additional employee. In order to facilitate the provision of services without the interruption due to the call of an additional employee, the functionality of the terminals was upgraded with the speech recognition, which is described in more detail in this work. We have based our work on the CMUSphinx tool to identify the spoken keywords and the Android.SpeechRecognizer tool to recognize commands and random speech of terminal users. We have implemented the automatic spoken responses to user commands with the TextToSpeech tool. In addition to employees, the terminals can also be used by patients. They can express their wishes in the spoken English language, and employees can come to the room already well prepared. With added functionality, we have simplified the work of employees and therefore improved work processes in medical institutions.

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