mlsanityData to 7 Oct 2026

FFSTC: Fongbe to French Speech Translation Corpus

arXiv 2403.05488 ↗First posted 8 Mar 2024cs.CLcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 22 of its 40 references that are in the map. First posted on arXiv 8 Mar 2024.

Builds on

22 of 40 references.

References · 22

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10 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

  1. 2025Large Multimodal Models for Low-Resource Languages: A Surveycited by 4
  2. 2026Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliabilitycited by 0
  3. 2026From Speech to Text Corpora: Evaluating ASR-Based Data Acquisition for Low-Resource Fongbe and Hausacited by 0