“Hey kaliko” wake word model for ESP32 and ESPHome
microWakeWord model for the wake word “Hey kaliko”, trained on microwakeword.com from synthetic speech (English (GB), French, Italian). It runs on-device on ESP32-S3 boards with ESPHome's micro_wake_word component, including the Home Assistant Voice Preview Edition, with no cloud involved.
Model facts
- Wake word
- “Hey kaliko”
- Language of the training voices
- English (GB), French, Italian
- Trained
- 2026-04-16 · microWakeWord v2
- Training steps
- 100,000
- Recall, with background noise
- 100.0%
- False activations on the benchmark set
- 4.16 per hour at probability cutoff 0.97
- Sliding window
- 5
- File
- quantized INT8 TFLite, 52 KB, with a micro_wake_word manifest
- Downloads
- 4
Add it to your ESPHome device
ESPHome fetches the model straight from this site when it compiles the firmware (ESPHome 2024.7 or newer); nothing to download.
micro_wake_word:
models:
- model: https://microwakeword.com/api/models/32/manifest.jsonSign in on this page to download the ZIP (TFLite + manifest) for offline use. Models are licensed for personal and non-commercial use by default (commercial license).
Similar wake words in the library
- “Alexander” — 61.8% recall
- “Okay Rock” — 47.6% recall
- “sweetie darling” — 39.6% recall
- “Natasha” — 3.6% recall
- “brother home” — 97.8% recall
- “Hey Odin” — 77.0% recall
Custom wake words are trained in the Training Center; the library lists every public model with the same measurements.