Mooré and French Proverbs Parallel Audio-Text Corpus

Goai Moore Speech Proverbs is a bilingual audio-text corpus containing traditional proverbs in the Mooré and French languages. It was created by goaicorp for research in low-resource speech and language processing, with the dataset page last updated in April 2026. The dataset is specifically designed for academic purposes in text-to-speech and automatic speech recognition for Mooré.

Use Cases

• Train text-to-speech models for Mooré using paired proverb audio and text.
• Develop automatic speech recognition systems for Mooré by learning from audio recordings of proverbs.
• Build bilingual language models by leveraging parallel French and Mooré proverb translations.
• Study low-resource language processing techniques with a focused corpus of traditional cultural utterances.

Strengths

• Parallel audio-text data for Mooré and French, enabling cross-lingual research.
• Specifically designed for low-resource language speech tasks, addressing a research gap.

Limitations

• Dataset size, row count, and audio duration are unknown, limiting assessment of scale.
• Access is gated, requiring a request process which may delay usability.

Provenance

Source

goaicorp

Collection Method

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Time Range

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Freshness

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Geography

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