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Dev.to
6/26/2026
Build sleep apnea detection with

Build sleep apnea detection with

Original: Don't Ignore the Snore: Building a Sleep Apnea Detection Pipeline with Whisper and Librosa

Short summary

Build an end-to-end sleep apnea detection pipeline using OpenAI Whisper and Librosa to analyze audio patterns and identify respiratory distress. Covers Web Audio API for browser-based capture, Mel-spectrogram feature extraction, and fine-tuning a transformer model for health state classification. Includes practical code examples and production architecture for healthcare AI systems.

  • •Whisper serves as audio feature extractor; fine-tune for health state classification rather than speech-to-text
  • •Combines Web Audio API (browser microphone capture) with Librosa (signal processing) and PyTorch (model training)
  • •Full-stack implementation with JavaScript and Python code samples; discusses HIPAA compliance and production scaling

Generated with AI, which can make mistakes.

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