Traditional Mooré Folk Stories Speech Corpus

A spoken corpus of traditional Mooré folk stories (contes) designed for research in low-resource speech and language processing. The dataset is created by goaicorp for academic purposes and was last updated in April 2026.

Use Cases

• Training text-to-speech models using Mooré language audio recordings and their corresponding story transcripts.
• Developing automatic speech recognition systems for Mooré by aligning audio recordings of folk stories with their textual content.
• Linguistic analysis of Mooré prosody and storytelling structure using the audio and associated story text.
• Building language models for Mooré using the textual corpus derived from the spoken folk stories.

Strengths

• Dataset is specifically designed for a low-resource language (Mooré, ISO 639-3: mos).
• Content is focused on a distinct domain of traditional folk stories, providing thematic consistency.

Limitations

• The dataset size, row count, and audio duration are unknown.
• Access is gated and requires a request process, limiting immediate availability.

Provenance

Source

goaicorp

Collection Method

Collection of spoken folk stories (contes) in Mooré.

Freshness

Last updated in April 2026.