Sub-vocal recognition relies on the physiological reality that when humans internally articulate words, slight nerve impulses travel to the laryngeal and facial muscles even without vocal cord vibration. Wispr's sensor array captures these microvolt electrical signals at 1,000Hz sampling frequencies.
The core technical challenge lies in signal isolation: filtering out cardiac activity, muscle jitter, and environmental electromagnetic interference. Wispr utilizes low-latency transformer models trained on paired EMG and audio datasets to map bio-signals directly to phoneme probabilities.
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With custom ASIC silicon integrated into the wristband, inference happens on-device within 15 milliseconds, providing instantaneous text input for private dictation in public environments.