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Griots Interviews, Bambara Language WAV, 30 hours, Recorded 2022, Cultural and ASR Training Resource

Domain:

natural language processing

Record type:

dataset
Creator:
Diarra, SebastienLeventhal, Michael
Editor:
Meric, Jean JacquesTraore, MouktarDembele, AlouDuguet, Vincent
Publisher:
Zenodo
Host:avatar

Source material to this project:

  • Addition to 200,000 lines Bambara-French clean synchronized corpus

  • Co-project with Google, recorded 30 hours video interviews with Griots

  • 30 hours manually transcribed and translated to French

  • 10 hours used in training ASR system and MT transformer

  • 100% Open Sourced

  • Cultural/Technical Exhibition to be hosted online and in the National Museum of Mali

  • Record, preserve, and share Malian culture with the world

  • Contribute to the science of low-resource language NLP

  • Reinforce the development of written Bambara

  • Enable Bambara to reach status as a “first-class internet language”

Corresponding transcribed data can be found at the following Griots Speech Dataset