@inproceedings{kponou-etal-2024-ffstc-fongbe,
title = "{FFSTC}: Fongbe to {F}rench Speech Translation Corpus",
author = "Kponou, D. Fortun{\'e} and
Laleye, Fr{\'e}jus A. A. and
Ezin, Eug{\`e}ne Cokou",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.638",
pages = "7270--7276",
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.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="kponou-etal-2024-ffstc-fongbe">
<titleInfo>
<title>FFSTC: Fongbe to French Speech Translation Corpus</title>
</titleInfo>
<name type="personal">
<namePart type="given">D</namePart>
<namePart type="given">Fortuné</namePart>
<namePart type="family">Kponou</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Fréjus</namePart>
<namePart type="given">A</namePart>
<namePart type="given">A</namePart>
<namePart type="family">Laleye</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Eugène</namePart>
<namePart type="given">Cokou</namePart>
<namePart type="family">Ezin</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2024-05</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Nicoletta</namePart>
<namePart type="family">Calzolari</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Min-Yen</namePart>
<namePart type="family">Kan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Veronique</namePart>
<namePart type="family">Hoste</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Alessandro</namePart>
<namePart type="family">Lenci</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sakriani</namePart>
<namePart type="family">Sakti</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Nianwen</namePart>
<namePart type="family">Xue</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>ELRA and ICCL</publisher>
<place>
<placeTerm type="text">Torino, Italia</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<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.</abstract>
<identifier type="citekey">kponou-etal-2024-ffstc-fongbe</identifier>
<location>
<url>https://aclanthology.org/2024.lrec-main.638</url>
</location>
<part>
<date>2024-05</date>
<extent unit="page">
<start>7270</start>
<end>7276</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T FFSTC: Fongbe to French Speech Translation Corpus
%A Kponou, D. Fortuné
%A Laleye, Fréjus A. A.
%A Ezin, Eugène Cokou
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%Y Hoste, Veronique
%Y Lenci, Alessandro
%Y Sakti, Sakriani
%Y Xue, Nianwen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F kponou-etal-2024-ffstc-fongbe
%X 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.
%U https://aclanthology.org/2024.lrec-main.638
%P 7270-7276
Markdown (Informal)
[FFSTC: Fongbe to French Speech Translation Corpus](https://aclanthology.org/2024.lrec-main.638) (Kponou et al., LREC-COLING 2024)
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.