Lexical Analysis of Automatic Transcriptions Using Speech-to-Text Services: A Statistically Evaluated Case Study

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dc.contributor.authorFalvojr, Venilton
dc.contributor.authorMarcolino, Anderson
dc.contributor.authorBruno, Diego
dc.contributor.authorMartins Falvo, Catherine
dc.contributor.authorOsório, Fernando Santos
dc.contributor.authorBarbosa, Ellen
dc.date.accessioned2023-12-26T18:46:26Z
dc.date.available2023-12-26T18:46:26Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2023.638
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other0d9aae0c-428f-4250-91b2-5b8a327d808f
dc.identifier.urihttps://hdl.handle.net/10125/107023
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEdTech and Emerging Technologies
dc.subjectaccessibility
dc.subjectlearning objects
dc.subjectlexical analysis
dc.subjectspeech-to-text
dc.subjectstatistical evaluation
dc.titleLexical Analysis of Automatic Transcriptions Using Speech-to-Text Services: A Statistically Evaluated Case Study
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThis paper introduces Speech2Learning, an innovative architecture designed to leverage Speech-To-Text (STT) technology to enhance the accessibility of Learning Objects (LOs). Stemming from a recognized gap in prior Systematic Mapping, the primary objective of this architecture is to simplify the development of flexible educational solutions. In a collaborative endeavor with Brazilian EdTech DIO, we instantiated Speech2Learning as a Proof of Concept (PoC) to subtitle video lessons on their e-learning platform. This PoC was essential to obtain valuable insights for a more comprehensive Case Study. Therefore, we performed a lexical similarity analysis on the automatic transcriptions generated by leading STT providers in Portuguese, English and Spanish. Finally, we carried out a rigorous Statistical Analysis to evaluate the quantitative data from the Case Study. Our findings highlight the potential of Speech2Learning to promote the accessibility of LOs, as well as the relevance of continued research to increase the accuracy of STT services.
dcterms.extent10 pages
prism.startingpage5317

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