Hausa is widely used across parts of West Africa and in wider regional communication. For speech technology, the label “Hausa” is only a starting point: project teams should identify intended speakers, locations, recording contexts, and use case.
Before recording begins
Define whether the data is scripted, read speech, spontaneous conversation, command utterances, or interviews. Confirm speaker criteria, recording environment, consent language, permitted downstream uses, and file formats. Include examples of acceptable and unacceptable recordings so contributors understand the target quality.
Transcription conventions
Decide how to represent names, borrowed words, repetitions, fillers, overlapping speech, punctuation, and unclear segments. If regional pronunciation or code-switching matters to the model, establish how those phenomena should be represented and tagged. Reviewers need an escalation route for ambiguous audio rather than guessing.
Measuring usefulness
Useful checks include audio integrity, completeness, transcript alignment, consistency, speaker metadata, and coverage against the agreed sampling plan. Teams should report gaps transparently. Langigs can discuss a Hausa speech-data brief, but delivery capacity and specific coverage must be confirmed before a project is accepted.
