Different sources leave unmistakable traces: a subway grinds with dominant low mids, neighbors’ voices cluster around intelligible bands, birds announce dawn with bright overtones. Tagging these shapes helps your system separate signal from noise, lowering false positives and highlighting what truly steals rest.
Static cutoffs frustrate sleepers. Adaptive thresholds learn your room’s baseline across nights, raising sensitivity when the house is still and relaxing it during predictable activities. Combine loudness, frequency, and onset speed to qualify significance, ensuring alerts happen only when intervention genuinely preserves sleep.
Pair sound logs with wearable indicators like heart rate variability, skin temperature, and motion. When spikes coincide with physiological reactions, confidence rises. Over time, this fusion clarifies which disturbances matter, guiding targeted fixes—from sealing a window gap to scheduling white noise.












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