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

Georgios Balaskas, Homer Papadopoulos, Quentin Loisel, Dimitra Pappa, George Efthymoglou, Sebastien Chastin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

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.

Original languageEnglish
Title of host publicationPETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments
PublisherAssociation for Computing Machinery (ACM)
Pages625-631
Number of pages7
ISBN (Electronic)9798400700699
DOIs
Publication statusPublished - 5 Jul 2023
Event16th ACM International Conference on PErvasive Technologies Related to Assistive Environments 2023 - Corfu, Greece
Duration: 5 Jul 20237 Jul 2023
Conference number: 16
http://www.petrae.org/

Publication series

NameACM International Conference Proceeding Series
ISSN (Print)None

Conference

Conference16th ACM International Conference on PErvasive Technologies Related to Assistive Environments 2023
Abbreviated titlePETRA 2023
Country/TerritoryGreece
CityCorfu
Period5/07/237/07/23
Internet address

Keywords

  • co-creation
  • dialogue summarization
  • natural language processing
  • public health
  • relation extraction
  • speaker diarization
  • speech-to-text translation
  • transcription

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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