“attention ninja” wake word model for ESP32 and ESPHome
microWakeWord model for the wake word “attention ninja”, trained on microwakeword.com from synthetic speech (English (US)). 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
- “attention ninja”
- Language of the training voices
- English (US)
- Trained
- 2026-09-30 · microWakeWord v2
- Training steps
- 20,000
- Recall, clean speech
- 74.2%
- Recall, with background noise
- 63.2%
- False activations on the benchmark set
- 0.76 per hour at probability cutoff 0.5
- Sliding window
- 5
- File
- quantized INT8 TFLite, 59 KB, with a micro_wake_word manifest
- Downloads
- 0
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/3995/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
- “ok computer” — 26.6% recall
- “computer” — 0.8% recall
- “Luna” — 61.0% recall
- “Hey Homey” — 2.6% recall
- “Hay Max” — 19.4% recall
- “sophia” — 0.0% recall
Custom wake words are trained in the Training Center; the library lists every public model with the same measurements.