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Please use this identifier to cite or link to this item: https://repository.rsif-paset.org/xmlui/handle/123456789/478
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dc.contributor.authorD. Fortuné, Kponou-
dc.contributor.authorFréjus, A. A. Laleye-
dc.contributor.authorEugène, Cokou Ezin-
dc.date.accessioned2025-05-02T07:58:22Z-
dc.date.available2025-05-02T07:58:22Z-
dc.date.issued2024-
dc.identifier.urihttps://repository.rsif-paset.org/xmlui/handle/123456789/478-
dc.descriptionpublicationen_US
dc.description.abstractIn this paper, we introduce the Fongbe to French Speech Translation Corpus (FFSTC). This corpus encompasses approximately 31 hours of collected Fongbe language content, featuring both French transcriptions and corresponding Fongbe voice recordings. FFSTC represents a comprehensive dataset compiled through various collection methods and the efforts of dedicated individuals. Furthermore, we conduct baseline experiments using Fairseq’s transformer_s and conformer models to evaluate data quality and validity. Our results indicate a score BLEU of 8.96 for the transformer_s model and 8.14 for the conformer model, establishing a baseline for the FFSTC corpus.en_US
dc.description.sponsorshipCheck pdfen_US
dc.publisherELRA and ICCLen_US
dc.subjectFongbeen_US
dc.subjectFrench Speech Translationen_US
dc.subjectCorpusen_US
dc.titleFFSTC: Fongbe to French Speech Translation Corpusen_US
dc.typeArticleen_US
Appears in Collections:ICTs including Big Data and Artificial Intelligence

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