Title: Study of speech enabled healthcare technology

Authors: Saswati Debnath; Pinki Roy

Addresses: Computer Science and Engineering Department, National Institute of Technology, Silchar, Assam, 788010, India ' Computer Science and Engineering Department, National Institute of Technology, Silchar, Assam, 788010, India

Abstract: Cost and quality of healthcare are the most challenging requirements in today's fastest growing medical technology and to meet these requirements automatic speech recognition (ASR) is one of the blessings to the medical world. ASR offers the potential to dramatically improve the cost and quality of healthcare service; many developments took place in national and international standard like e-prescription, clinical documentation, speech recognition in radiology, pathological speech signal analysis, etc. Recently a large number of hospitals and doctors use these types of medical technology to deliver better services to the patient. This paper presents a review of recent advancement on medical technology based on speech recognition. It covers some of the speech based healthcare research and software, the implementation framework and application and also this paper come up with a new idea of research to identifying the symptoms of diseases using machine learning and ASR to improve medical technology.

Keywords: medical technology; automatic speech recognition; ASR; speech features; machine learning.

DOI: 10.1504/IJMEI.2019.096893

International Journal of Medical Engineering and Informatics, 2019 Vol.11 No.1, pp.71 - 85

Received: 12 Dec 2016
Accepted: 11 Jul 2017

Published online: 13 Dec 2018 *

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