c99koder/AudioClassifier-MQTT
Use the yamnet TensorFlow model to classify live audio from a microphone and publish the predicted results to Home Assistant via MQTT
This project helps you bring awareness of your environment into your smart home system. It listens to live audio from a microphone and identifies sounds like a dog barking, a baby crying, or a smoke alarm. The identified sounds are then sent to Home Assistant, allowing you to trigger automations based on what it "hears." This is perfect for anyone setting up smart home automations.
No commits in the last 6 months.
Use this if you want your Home Assistant setup to react to specific sounds happening in your home, like sending you an alert if a smoke detector goes off or turning on a light when a specific sound is detected.
Not ideal if you need to analyze recorded audio files, identify speech content, or perform highly sensitive acoustic analysis for scientific or professional applications.
Stars
31
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 15, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/c99koder/AudioClassifier-MQTT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
makeabilitylab/ProtoSound
ProtoSound is a deployable interactive system for personalizing a sound recognition model in...
Arvind2903/Accent-Classification-And-Conversion
Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms....
musa11971/manhuw
Recognizing and identifying Quran reciters from audio recordings.
box-community/sample-audio-skills
🎼 Box Skills samples for processing audio files
PatrickFanella/soundhash
A sophisticated system for matching audio clips from videos across social media platforms using...