FFSTC: Fongbe to French Speech Translation Corpus
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866910358797549568 |
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| author | Kponou, D. Fortune Laleye, Frejus A. A. Ezin, Eugene C. |
| author_facet | Kponou, D. Fortune Laleye, Frejus A. A. Ezin, Eugene C. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_05488 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | FFSTC: Fongbe to French Speech Translation Corpus Kponou, D. Fortune Laleye, Frejus A. A. Ezin, Eugene C. Computation and Language 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. |
| title | FFSTC: Fongbe to French Speech Translation Corpus |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2403.05488 |