Turning a Product Name into an Offline Wake Word: Key Testing Considerations

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A developer explores how smart products can recognize a custom wake word locally, without sending audio to the cloud. The article distinguishes between keyword spotting, suited to a few fixed phrases, and full speech recognition, needed for open-ended speech. It recommends testing candidate phrases with multiple speakers, varied distances, real hardware, background noise, and similar-sounding words. The author notes that browser-based screening is only a first filter and cannot guarantee performance in a real device. A standard ONNX or TFLite model is presented as a practical way to deploy across platforms, with cooldown logic and safe failure handling still required in the application.

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