Counselling summary and diarization
From raw audio to a per-speaker counselling summary
Context
Writing up session notes ate directly into counsellors’ working hours.
Problem
Counsellors wrote up their notes by hand after long sessions, spending real time sifting out what each speaker actually said.
How I solved it
- Designed an end-to-end pipeline: speaker diarization, then speech-to-text, then LLM summarisation
- Delivered per-speaker summaries and a whole-session summary as separate outputs
Result
- Audio in, per-speaker and full summaries out — and it shipped to production
Impact
Audio in, per-speaker notes out — counsellors spend their time counselling rather than transcribing.