Robuta

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