Abstract
In 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.- Anthology ID:
- 2024.lrec-main.638
- Volume:
- Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
- Venues:
- LREC | COLING
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 7270–7276
- Language:
- URL:
- https://aclanthology.org/2024.lrec-main.638
- DOI:
- Cite (ACL):
- D. Fortuné Kponou, Fréjus A. A. Laleye, and Eugène Cokou Ezin. 2024. FFSTC: Fongbe to French Speech Translation Corpus. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 7270–7276, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- FFSTC: Fongbe to French Speech Translation Corpus (Kponou et al., LREC-COLING 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.lrec-main.638.pdf