Nyansapo Labs uses AI to assess children's reading fluency in 45 seconds — replacing a process that used to take trained assessors 20 minutes per child. Ubenwa detects birth asphyxia from infant cry sounds using MFCC features and neural networks, enabling early diagnosis in clinics without specialist equipment.
Learn audio intelligence step by step with narration, interactive theory, and hands-on pipeline activities. Everything you need is inside the lesson — no coding required.
Already know the basics? Go straight to building audio intelligence pipelines visually.
Learning Objectives
What you'll learn in this module
- Understand how Whisper converts speech to text using transformer architecture
- Extract MFCC features from audio — the same features Ubenwa uses for cry analysis
- Train an SVM classifier to distinguish speech from music
- Generate speech from text using the Piper TTS engine
Sector Applications
How this technology is used across African sectors
Nyansapo Labs assesses reading fluency in 45 seconds using ASR — replacing 20-minute manual assessments per child
Ubenwa detects birth asphyxia from infant cry sounds, enabling early diagnosis in clinics without specialist equipment
Audio traps classify pest species by their wing-beat frequencies, enabling targeted pest management
Transcribe public hearings and parliamentary sessions in local languages for citizen access and accountability
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