Speech Technology for Healthcare: Opportunities, Challenges, and State of the Art
Speech Technology for Healthcare: Opportunities, Challenges, and State of the Art
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DOI：
10.1109/rbme.2020.3006860
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发表时间：
2021-01-01
影响因子：
17.6
通讯作者：
Younis, Shahzad
中科院分区：
文献类型：
--
作者：
Latif, Siddique;Qadir, Junaid;Younis, Shahzad
语音技术尚未得到适当的探索，尽管语音技术的现代进步-特别是由深度学习（DL）技术驱动的语音技术-为医疗保健行业的转型提供了前所未有的机会。在本文中，我们重点讨论了语音技术在医疗保健领域的巨大潜力。更具体地说，我们回顾了自动语音识别（ASR），语音合成或文本到语音（TTS），健康检测和监测使用语音信号的最先进的方法。我们还全面概述了阻碍医疗保健中基于语音的服务增长的各种挑战。为了使基于语音的医疗保健解决方案更加普遍，我们讨论了开放的问题，并提出了一些可能的研究方向，旨在充分利用其他技术的优势，使基于语音的医疗保健解决方案更加有效。
Speech technology is not appropriately explored even though modern advances in speech technology-especially those driven by deep learning (DL) technology-offer unprecedented opportunities for transforming the healthcare industry. In this paper, we have focused on the enormous potential of speech technology for revolutionising the healthcare domain. More specifically, we review the state-of-the-art approaches in automatic speech recognition (ASR), speech synthesis or text to speech (TTS), and health detection and monitoring using speech signals. We also present a comprehensive overview of various challenges hindering the growth of speech-based services in healthcare. To make speech-based healthcare solutions more prevalent, we discuss open issues and suggest some possible research directions aimed at fully leveraging the advantages of other technologies for making speech-based healthcare solutions more effective.