Unverified50% confidenceFactExact time
Wake word detection is an always-on task in edge audio processing, typically using a small deep neural network (on the order of 100,000 parameters) together with a ring buffer to complete keyword detection locally, uploading to the cloud for full inference only after a trigger.
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50%
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Long-term
Relevance
10/16/2026
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Related Claims
UnverifiedAlways-listening devices usually adopt a layered processing architecture: a low-power wake word detection module on the device, which activates the full audio capture and upload process only after detecting the trigger word.74% similarUnverifiedOn-device inference has already achieved results close enough to cloud API standards for specific tasks such as caption generation, voice noise reduction, and silence detection.71% similarUnverifiedWhisper通过分析Cross-Attention权重矩阵来追踪每个输出Token对应的音频帧位置，配合CTC强制对齐算法可实现词级别毫秒精度定位71% similarUnverifiedOn-device speech recognition refers to performing the speech-to-text inference process entirely on the user's local device rather than relying on cloud servers.70% similarUnverifiedContextual trigger detection, after a wake word activation, distinguishes whether the user's subsequent speech is a genuine command or casual conversation unrelated to the assistant.70% similar
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