一种基于人工智能的实时语音到文本到手语翻译,适用于2019冠状病毒病时代及以后的南非官方语言:为听力受损人士寻求解决方案。

IF 1 Q3 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Milka C Madahana, Katijah Khoza-Shangase, Nomfundo Moroe, Daniel Mayombo, Otis Nyandoro, John Ekoru
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引用次数: 4

摘要

背景:2019冠状病毒病(COVID-19)大流行的出现导致沟通被加强,成为实施干预措施的关键方面之一。决策者传递重要信息的延迟可能是有害的,尤其是对听力受损的人。目的:本研究旨在对人工智能(AI)在实时语音转文本到手语翻译中的应用进行范围审查,从而提出一种基于AI的南非语言从语音转文本到手语的实时翻译解决方案。方法:检索包括ScienceDirect、PubMed、Scopus、MEDLINE和ProQuest在内的电子书目数据库,找出2019年至2021年间发表的同行评议的英文出版物,这些出版物为基于人工智能的实时语音到文本的手语翻译作为听力障碍患者的解决方案提供了证据。这项审查是作为提议的实时南非翻译的先驱进行的。结果:该综述显示,缺乏证据表明采用和/或最大化人工智能和机器学习(ML)作为听力障碍患者的可能解决方案。这些技术进步的临床应用和研究明显滞后,特别是在非洲大陆。结论:专门针对南非社区的辅助技术对于确保能够清晰听到声音的个体和听力障碍个体之间的双向交流至关重要,因此本文提出了解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A proposed artificial intelligence-based real-time speech-to-text to sign language translator for South African official languages for the COVID-19 era and beyond: In pursuit of solutions for the hearing impaired.

A proposed artificial intelligence-based real-time speech-to-text to sign language translator for South African official languages for the COVID-19 era and beyond: In pursuit of solutions for the hearing impaired.

A proposed artificial intelligence-based real-time speech-to-text to sign language translator for South African official languages for the COVID-19 era and beyond: In pursuit of solutions for the hearing impaired.

A proposed artificial intelligence-based real-time speech-to-text to sign language translator for South African official languages for the COVID-19 era and beyond: In pursuit of solutions for the hearing impaired.

Background:  The emergence of the coronavirus disease 2019 (COVID-19) pandemic has resulted in communication being heightened as one of the critical aspects in the implementation of interventions. Delays in the relaying of vital information by policymakers have the potential to be detrimental, especially for the hearing impaired.

Objectives:  This study aims to conduct a scoping review on the application of artificial intelligence (AI) for real-time speech-to-text to sign language translation and consequently propose an AI-based real-time translation solution for South African languages from speech-to-text to sign language.

Methods:  Electronic bibliographic databases including ScienceDirect, PubMed, Scopus, MEDLINE and ProQuest were searched to identify peer-reviewed publications published in English between 2019 and 2021 that provided evidence on AI-based real-time speech-to-text to sign language translation as a solution for the hearing impaired. This review was done as a precursor to the proposed real-time South African translator.

Results:  The review revealed a dearth of evidence on the adoption and/or maximisation of AI and machine learning (ML) as possible solutions for the hearing impaired. There is a clear lag in clinical utilisation and investigation of these technological advances, particularly in the African continent.

Conclusion:  Assistive technology that caters specifically for the South African community is essential to ensuring a two-way communication between individuals who can hear clearly and individuals with hearing impairments, thus the proposed solution presented in this article.

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来源期刊
SOUTH AFRICAN JOURNAL OF COMMUNICATION DISORDERS
SOUTH AFRICAN JOURNAL OF COMMUNICATION DISORDERS AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY-
CiteScore
2.10
自引率
36.40%
发文量
37
审稿时长
30 weeks
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