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Moore Speech Bible: A Curated Audio-Text Dataset for Mooré TTS and ASR

The Moore Speech Bible dataset is a collection of aligned audio and text in Mooré, gathered from publicly available religious sources. This corpus is curated for research and academic purposes in low-resource speech and language processing, especially for text-to-speech (TTS) and automatic speech recognition (ASR) in the Mooré language (ISO 639-3: mos).

Mooré remains under-represented in current speech technologies. By releasing this dataset, we aim to contribute to the development of accessible AI systems and support the preservation and digital presence of African languages.

This version of the dataset combines multiple sources into a unified, ready-to-use audio-text corpus:

  • bible_com: Aligned audio and transcripts from the Mooré Bible (“WẼNNAAM SEBRE 2014”) on bible.com
  • jw_org: ~70h of Mooré paired audio+text data collected from jw.org

⚠️ Access is gated. Requests must clearly state identity and intended research use.
🚩 TLDR: Anonymous or vague requests will not be approved.


Summary

The dataset contains two aligned audio-text splits:

  • bible_com: Sentence-level aligned audio and transcripts from bible.com
  • jw_org: ~70 hours of paired audio-text data from jw.org

Common characteristics:

  • Audio: 16 kHz mono WAV
  • Transcripts: Preserve Mooré diacritics
  • Alignment: Fairseq MMS forced-aligner (for bible_com)

Data Instances

{
  "audio": {
    "path": "data/train/GEN_1_MPBU_segment001.wav",
    "array": [/* waveform samples */],
    "sampling_rate": 16000
  },
  "transcription": "Wakat-kãnga, mam na n tigm-y lame.",
  "duration": 3.16,
  "chapter": "GEN_1_MPBU"
}

Fields

  • audio: Path & decoded waveform at 16 kHz
  • transcription: Aligned Mooré text
  • duration: Segment length in seconds
  • chapter: Original chapter code (or UNKNOWN when unavailable)

Splits

Split Examples Approx. Duration
bible_com 57 410 ~76 hrs
jw_org 27 100 ~70 hrs

The two splits come from different sources and distributions. Avoid mixing them blindly without validation, as this may introduce domain bias.


Contacts & Citation

Citation:

@misc{anyantudre2025moorespeechbible,
  title        = {Moore Speech Bible: A Curated Aligned Audio/Text Dataset for Mooré TTS/ASR},
  author       = {Nyantudre, Wendyellé Abubakrh Alban and Bandaogo, Aristide},
  year         = {2025},
  howpublished = {Gated dataset, GO AI Corporation Hugging Face org}
}

Considerations:

Note: Usage follows YouVersion’s non-commercial, internal-use license.

  • Legal: Internal, non-commercial research only. Redistribution outside GO AI is prohibited without permission.
  • Bias: Domain-specific (religious content).
  • Speakers: Limited variability depending on source.
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