Omar Amin
3ea32895ee
## Summary - Introduces configurable wake word and stop word sensitivity - Adds UI-controllable thresholds for wake word detection - Refactors wake word loading and handling logic - Improves audio preprocessing and runtime behavior ## Key Features - Per-wake-word sensitivity configuration (Wake Word 1 & 2) - Configurable stop word sensitivity - Fine-grained numeric control (0.0 – 1.0, step 0.001) - Sensitivity values exposed as Number Entities for Home Assistant - Persistent storage of user-defined sensitivity values ## Wake Word Handling - Support for model-specific default thresholds (`probability_cutoff`) - Automatic fallback to defaults if no user value is set - Separate thresholds for: - Wake Word 1 - Wake Word 2 - Stop Word - Unified handling for MicroWakeWord and OpenWakeWord models ## UI / API Integration - Adds new Home Assistant entities: - `WakeWord1SensitivityNumberEntity` - `WakeWord2SensitivityNumberEntity` - `StopWordSensitivityNumberEntity` - Entities support: - Live updates - Persistence via preferences - Synchronization with runtime state - Pushes updated values to Home Assistant on startup ## Refactoring - Extracted wake word logic into `wake_word.py` - Model discovery - Model loading - Stop word handling - Simplified `__main__.py` by delegating wake word responsibilities - Improved separation between configuration and runtime state ## Additional Changes - Improved debug logging across initialization and runtime ## Impact - Enables fine-tuning of wake word detection accuracy - Reduces false positives and missed triggers - Improves usability via UI-based configuration - Provides better flexibility across different environments and microphones
9 lines
140 B
JSON
9 lines
140 B
JSON
{
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"type": "openWakeWord",
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"wake_word": "Alexa",
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"model": "alexa_v0.1.tflite",
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"openWakeWord": {
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"probability_cutoff": 0.7
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}
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}
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