https://openwakeword.com/library/4782
"Hey VerbX" Wake Word Model — OpenWakeWord
"Hey VerbX" wake word model for Home Assistant and custom voice assistants: 80% recall, 1.13 false activations per hour, ONNX and TFLite, trained 2026-09-25.
wake wordheymodel
https://microwakeword.com/library/3686
"Oye Pepe" Wake Word Model for ESP32 & ESPHome — microWakeWord
"Oye Pepe" wake word model for ESPHome and the Home Assistant Voice PE: 52% recall, 1.51 false activations per hour, INT8 TFLite with manifest, trained...
wake wordoyepepemodel
https://microwakeword.com/library/1217
"Hallo Haus" Wake Word Model for ESP32 & ESPHome — microWakeWord
"Hallo Haus" wake word model for ESPHome and the Home Assistant Voice PE: 69% recall, 0.38 false activations per hour, INT8 TFLite with manifest, trained...
wake wordhallohausmodel
https://openwakeword.com/library/2065
"Hey Georgee" Wake Word Model — OpenWakeWord
Download the "Hey Georgee" wake word model for Home Assistant, Rhasspy, and custom voice assistants. ONNX format, open source, trained with multilingual TTS...
wake wordheygeorgeemodel
https://research.ibm.com/publications/call-transcript-segmentation-using-word-cooccurrence-model
Call transcript segmentation using word cooccurrence model for SLT 2010 - IBM Research
Call transcript segmentation using word cooccurrence model for SLT 2010 by Shajith Ikbal et al.
ibm researchcalltranscriptsegmentationusing
https://microwakeword.com/library/3090
"Hey Vinu" Wake Word Model for ESP32 & ESPHome — microWakeWord
"Hey Vinu" wake word model for ESPHome and the Home Assistant Voice PE: 40% recall, 0.76 false activations per hour, INT8 TFLite with manifest, trained...
wake wordheyvinumodel
https://microwakeword.com/library/2304
"Hey Aspen" Wake Word Model for ESP32 & ESPHome — microWakeWord
"Hey Aspen" wake word model for ESPHome and the Home Assistant Voice PE: 73% recall, 1.89 false activations per hour, INT8 TFLite with manifest, trained...
wake wordheyaspenmodel
https://microwakeword.com/library/3278
"brother home" Wake Word Model for ESP32 & ESPHome — microWakeWord
"brother home" wake word model for ESPHome and the Home Assistant Voice PE: 93% recall, 1.13 false activations per hour, INT8 TFLite with manifest, trained...
brother homewake wordmodel
https://microwakeword.com/library/2094
"Hey ma puce" Wake Word Model for ESP32 & ESPHome — microWakeWord
"Hey ma puce" wake word model for ESPHome and the Home Assistant Voice PE: 52% recall, 0.00 false activations per hour, INT8 TFLite with manifest, trained...
hey mawake wordpucemodel
https://microwakeword.com/library/3423
"Hilfe, Hilfe, Hilfe" Wake Word Model for ESP32 & ESPHome — microWakeWord
"Hilfe, Hilfe, Hilfe" wake word model for ESPHome and the Home Assistant Voice PE: 69% recall, 0.38 false activations per hour, INT8 TFLite with manifest,...
wake wordhilfemodel
https://microwakeword.com/library/1632
"Eh, Jarvisse" Wake Word Model for ESP32 & ESPHome — microWakeWord
"Eh, Jarvisse" wake word model for ESPHome and the Home Assistant Voice PE: 61% recall, 0.38 false activations per hour, INT8 TFLite with manifest, trained...
wake wordmodel
https://openwakeword.com/library/982
"慧应 慧应" Wake Word Model — OpenWakeWord
Download the "慧应 慧应" wake word model for Home Assistant, Rhasspy, and custom voice assistants. ONNX format, open source, trained with multilingual TTS voices.
wake wordmodel
https://openwakeword.com/library/4170
"maestro" Wake Word Model — OpenWakeWord
"maestro" wake word model for Home Assistant and custom voice assistants: 86% recall, 1.83 false activations per hour, ONNX and TFLite, trained 2026-09-07.
wake wordmaestromodel
https://fisapostului.online/download/132412-sef-autobaza
Download Model Word Fisa postului - COR 132412 sef autobaza
Descarca Fisa postului
downloadmodelwordfisacor
https://microwakeword.com/library/3898
"Bozley" Wake Word Model for ESP32 & ESPHome — microWakeWord
"Bozley" wake word model for ESPHome and the Home Assistant Voice PE: 22% recall, 0.38 false activations per hour, INT8 TFLite with manifest, trained...
wake wordmodel
https://wordwenches.com/early-role-model/
An Early Role Model – The Word Wenches
role modelthe wordearlywenches
https://papers.cool/venue/yu18@interspeech_2018@ISCA
A Multistage Training Framework for Acoustic-to-Word Model | Cool Papers - Immersive Paper Discovery
Acoustic-to-word (A2W) prediction model based on Connectionist Temporal Classification (CTC) criterion has gained increasing interest in recent studies....
word modelmultistagetrainingframeworkacoustic
https://microwakeword.com/library/3780
"Hei Nexsus" Wake Word Model for ESP32 & ESPHome — microWakeWord
"Hei Nexsus" wake word model for ESPHome and the Home Assistant Voice PE: 95% recall, 0.76 false activations per hour, INT8 TFLite with manifest, trained...
wake wordheimodel
https://microwakeword.com/library/3311
"Hey Verity" Wake Word Model for ESP32 & ESPHome — microWakeWord
"Hey Verity" wake word model for ESPHome and the Home Assistant Voice PE: 33% recall, 0.38 false activations per hour, INT8 TFLite with manifest, trained...
wake wordheyveritymodel
https://microwakeword.com/library/2364
"John Henry" Wake Word Model for ESP32 & ESPHome — microWakeWord
"John Henry" wake word model for ESPHome and the Home Assistant Voice PE: 55% recall, 2.27 false activations per hour, INT8 TFLite with manifest, trained...
john henrywake wordmodel