FFSTC: Fongbe to French Speech Translation Corpus
D. Fortune Kponou Frejus A. A. Laleye Eugene C. Ezin
In this paper, we introduce the Fongbe to French Speech Translation Corpus
(FFSTC) for the first time. 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 of 8.96 for the transformer_s model and 8.14 for the
conformer model, establishing a baseline for the FFSTC corpus.