Turn hours of recordings into one clear answer.
Dog Bark Detector listens to your WAV recordings, finds every bark using Google's YAMNet AI, and hands back a timestamped Excel report, individual MP3 clips, and prompts ready to paste into Copilot — all processed on the council PC, nothing uploaded anywhere.
What it actually does
No cloud service, no subscription, no guesswork. Point it at a folder of recordings and it does the listening for you.
Every bark becomes a case-ready record
Each detection gets a timestamp, a duration, a confidence score, and its own MP3 clip you can listen back to and attach directly to a complaint file. The Excel report groups activity into clusters, flags quiet periods, and surfaces the patterns an officer actually needs — longest bark, busiest recording, time-of-day spread.
Runs on the council PC
Python, ffmpeg and the YAMNet model install directly from python.org and GitHub — no winget, no admin portal, no recordings ever leave the machine.
Writes the first draft for you
Seven built-in prompts turn the same data into a formal notice, a plain-English update for the complainant, or a case-file entry — paste into Copilot and go.
The time this actually saves
Based on real-world testing, running a full week of continuous recordings through Dog Bark Detector takes about 5 hours on average — compared with the weeks it would take to listen through the same audio by ear.
In practice: a full week of continuous recordings that would take a staff member the better part of a month to get through by ear is processed in well under a single business day — and it's unattended machine time, not hands-on staff time, so nobody has to sit and listen to any of it.
Ready to see it running?
Six guided steps from a folder of recordings to a finished report.