An end-to-end system for transcription, translation, and summarization to support the co-creation process. A Health CASCADE Study

被引:1
|
作者
Balaskas, Georgios [1 ]
Papadopoulos, Homer [2 ]
Loisel, Quentin [3 ]
Pappa, Dimitra [2 ]
Efthymoglou, George [4 ]
Chastin, Sebastien [5 ]
机构
[1] Demokritos Univ Piraeus Ag Paraskeyi, Natl Ctr Sci Res, Athens, Attiki, Greece
[2] Demokritos Ag Paraskeyi, Natl Ctr Sci Res, Athens, Attiki, Greece
[3] Glasgow Caledonian Univ, Cowcaddens Rd, Glasgow, Lanark, Scotland
[4] Univ Piraeus, Athens, Attiki, Greece
[5] Univ Ghent, Glasgow Caledonian Univ, Cowcaddens Rd, Glasgow, Lanark, Scotland
来源
PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2023 | 2023年
关键词
natural language processing; transcription; speech-to-text translation; speaker diarization; relation extraction; dialogue summarization; co-creation; public health;
D O I
10.1145/3594806.3596567
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a web service and a deep learning (DL) pipeline that has been developed and implemented as part of the MSCA Health CASCADE project. The purpose of the web service is to provide support, streamline, and enable participatory methods, such as co-creation, in the public health domain. The DL pipeline assists with translation, transcription, speaker diarization, relation extraction, and summarization of audio recordings. This is achieved by removing the need for time-consuming tasks, such as translating and transcribing audio recordings. Additional value is created by extracting implicit relations from the transcribed text and identifying patterns, key themes, and trends. Finally, providing summaries of the transcripts creates a sense of ownership that can improve stakeholder retention in participatory methods.
引用
收藏
页码:625 / 631
页数:7
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