Listens
A speech recognition model (Whisper) transcribes each voice note within seconds, on our own servers.
→ « nous sommes sept à la maison »
SahelVoice runs your surveys on WhatsApp. People answer by tapping a button, typing, or speaking. AI transcribes, understands and structures every answer. Your enumerators check.
Question 2/7 · How many people live in your household, including you?
« nous sommes sept à la maison »
“there are seven of us at home”
| question | value | source | status |
|---|---|---|---|
| household_size | 7 | voice | confirmed |
Artificial intelligence
In Chad, many people would rather speak than write. SahelVoice puts speech recognition to work for surveys, with a person to check whatever the machine is not sure it understood.
A speech recognition model (Whisper) transcribes each voice note within seconds, on our own servers.
It pulls out the expected answer: a number said in words, a yes or a no, a choice from the list, a rating from 1 to 5.
A spoken number is read back to the person to confirm. An answer it cannot understand is asked again once, then sent to your enumerators.
Every enumerator correction measures the real transcription accuracy. With separate consent from respondents, it helps train our models for the languages of Chad.
We do not publish an accuracy figure until we have measured it on real answers from Chad. The dashboard computes that figure from your own enumerators' checks.
The platform
From importing the questionnaire to the final export, SahelVoice replaces paper forms and one-by-one phone calls.
Upload the XLSForm file from KoBoToolbox or ODK. Simple skip logic is kept; anything WhatsApp cannot do is flagged clearly.
Invite a contact list, or put up a keyword and a QR code. The person writes in, and the survey starts.
Each answer reaches the dashboard the moment it is sent, with the audio ready to play.
Your enumerators listen to voice notes one by one: correct, fix, or inaudible. The next one opens by itself.
One row per person with the checked values, in Excel or CSV. Audio in a ZIP, named like the columns.
Administrators and enumerators each have their own access. Every organisation sees only its own surveys.
Human + AI
The machine does the repetitive work. The people who know the field have the final say on every voice answer.
Illustrative example, not real data. Answers are in French; shown translated.
Who it is for
Post-distribution monitoring, beneficiary feedback, project evaluation. People who rarely write can answer out loud.
“Did you receive the full kit?”
Customer satisfaction, delivery feedback, service reviews. A QR code at the counter is enough to start.
“How would you rate our service?”
Feedback on a training, a workshop or a mentoring programme, with results visible live.
“What did you learn today?”
Languages
Large speech models understand the languages of Chad poorly, for lack of data. We are building that data with communities, only with people's explicit consent.
Data protection
Asked before the first question. Without consent, nothing is recorded and the person appears nowhere.
Writing STOP ends all messages, from every organisation, for good.
Phone numbers are replaced by a code in exports and hidden in the dashboard.
Voice notes are erased after the period the organisation sets. Reusing them for research needs a second, separate consent.
About
Researcher in natural language processing for low-resource African languages. In Chad, almost everyone has WhatsApp, and many people would rather speak than write. SahelVoice turns those conversations into reliable data for the organisations that serve the population.
Pilots
Are you an NGO, a business or an association working in Chad? The first pilots are free. We set up the survey with you.