Language barriers present a great challenge in our increasingly connected and
global world. Especially within the medical domain, e.g. hospital or emergency
room, communication difficulties and delays may lead to malpractice and
non-optimal patient care. In the HYKIST project, we consider patient-physician
communication, more specifically between a German-speaking physician and an
Arabic- or Vietnamese-speaking patient. Currently, a doctor can call the
Triaphon service to get assistance from an interpreter in order to help
facilitate communication. The HYKIST goal is to support the usually
non-professional bilingual interpreter with an automatic speech translation
system to improve patient care and help overcome language barriers. In this
work, we present our ASR system development efforts for this conversational
telephone speech translation task in the medical domain for two languages
pairs, data collection, various acoustic model architectures and
dialect-induced difficulties.

在医疗领域中，德语医生与阿拉伯或越南语患者间的患者 - 医生交流，由于语言屏障会导致沟通困难和延误，为了支持非专业双语翻译，该研究开发了一个自动语音翻译系统，该系统能够帮助改善患者护理并克服语言障碍。研究者针对两种语言对中的医疗领域的电话会话语音翻译任务进行了 ASR 系统开发。