dc.contributor.author |
Marais, Laurette
|
|
dc.contributor.author |
Louw, Johannes A
|
|
dc.contributor.author |
Badenhorst, Jacob AC
|
|
dc.contributor.author |
Calteaux, Karen V
|
|
dc.contributor.author |
Wilken, Ilana
|
|
dc.contributor.author |
Van Niekerk, Nina
|
|
dc.contributor.author |
Stein, Glenn
|
|
dc.date.accessioned |
2021-03-11T19:45:47Z |
|
dc.date.available |
2021-03-11T19:45:47Z |
|
dc.date.issued |
2020-07 |
|
dc.identifier.citation |
Marais, L., Louw, J.A., Badenhorst, J.A., Calteaux, K.V., Wilken, I., Van Niekerk, N. & Stein, G. 2020. AwezaMed: A multilingual, multimodal speech-to-speech translation application for maternal health care. http://hdl.handle.net/10204/11894 . |
en_ZA |
dc.identifier.isbn |
978-0-578-64709-8 |
|
dc.identifier.isbn |
978-1-7281-6830-2 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/11894
|
|
dc.description.abstract |
The language contexts of multilingual developing countries such as South Africa are often characterised by communication challenges resulting from language differences. AwezaMed is a multilingual, multimodal speech-to-speech translation application for the health care domain, which was designed to assist in bridging communication barriers and mitigate the risks of miscommunication. The application focuses on the domain of maternal health care. It uses English as source language and Afrikaans, isiXhosa and isiZulu as target languages to enable health care providers to communicate with patients in their own language. It incorporates automatic speech recognition, machine translation and text-to-speech to deliver speech-to-speech translation functionality in a scalable way via a REST API to an Android mobile application. It is being piloted at various health care facilities across South Africa. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
DOI: 10.23919/FUSION45008.2020.9190240 |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/9190240 |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9190240 |
en_US |
dc.source |
2020 IEEE 23rd International Conference on Information Fusion (FUSION), Rustenburg, South Africa, 6-9 July 2020 |
en_US |
dc.subject |
Machine translation |
en_US |
dc.subject |
Mobile application |
en_US |
dc.subject |
Speech-to-speech translation |
en_US |
dc.subject |
Text-to-speech |
en_US |
dc.title |
AwezaMed: A multilingual, multimodal speech-to-speech translation application for maternal health care |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
669-676 |
en_US |
dc.description.note |
Copyright: IEEE 2020. Due to copyright restrictions, the attached PDF file contains the abstract of the full-text item. For access to the full-text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/9190240 |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
|
dc.description.impactarea |
Digital Audio-Visual Technologies |
en_US |
dc.description.impactarea |
Networked Systems PM |
|
dc.identifier.apacitation |
Marais, L., Louw, J. A., Badenhorst, J. A., Calteaux, K. V., Wilken, I., Van Niekerk, N., & Stein, G. (2020). AwezaMed: A multilingual, multimodal speech-to-speech translation application for maternal health care. http://hdl.handle.net/10204/11894 |
en_ZA |
dc.identifier.chicagocitation |
Marais, Laurette, Johannes A Louw, Jacob AC Badenhorst, Karen V Calteaux, Ilana Wilken, Nina Van Niekerk, and Glenn Stein. "AwezaMed: A multilingual, multimodal speech-to-speech translation application for maternal health care." <i>2020 IEEE 23rd International Conference on Information Fusion (FUSION), Rustenburg, South Africa, 6-9 July 2020</i> (2020): http://hdl.handle.net/10204/11894 |
en_ZA |
dc.identifier.vancouvercitation |
Marais L, Louw JA, Badenhorst JA, Calteaux KV, Wilken I, Van Niekerk N, et al, AwezaMed: A multilingual, multimodal speech-to-speech translation application for maternal health care; 2020. http://hdl.handle.net/10204/11894 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Marais, Laurette
AU - Louw, Johannes A
AU - Badenhorst, Jacob AC
AU - Calteaux, Karen V
AU - Wilken, Ilana
AU - Van Niekerk, Nina
AU - Stein, Glenn
AB - The language contexts of multilingual developing countries such as South Africa are often characterised by communication challenges resulting from language differences. AwezaMed is a multilingual, multimodal speech-to-speech translation application for the health care domain, which was designed to assist in bridging communication barriers and mitigate the risks of miscommunication. The application focuses on the domain of maternal health care. It uses English as source language and Afrikaans, isiXhosa and isiZulu as target languages to enable health care providers to communicate with patients in their own language. It incorporates automatic speech recognition, machine translation and text-to-speech to deliver speech-to-speech translation functionality in a scalable way via a REST API to an Android mobile application. It is being piloted at various health care facilities across South Africa.
DA - 2020-07
DB - ResearchSpace
DP - CSIR
J1 - 2020 IEEE 23rd International Conference on Information Fusion (FUSION), Rustenburg, South Africa, 6-9 July 2020
KW - Machine translation
KW - Mobile application
KW - Speech-to-speech translation
KW - Text-to-speech
LK - https://researchspace.csir.co.za
PY - 2020
SM - 978-0-578-64709-8
SM - 978-1-7281-6830-2
T1 - AwezaMed: A multilingual, multimodal speech-to-speech translation application for maternal health care
TI - AwezaMed: A multilingual, multimodal speech-to-speech translation application for maternal health care
UR - http://hdl.handle.net/10204/11894
ER - |
en_ZA |
dc.identifier.worklist |
24224 |
en_US |