Optical sensors improve SNR in human-machine communications
To augment stagnant signal-to-noise ratios (SNR), speech enhancement company VocalZoom has developed optical human-to-machine communications (HMC) sensors that extract facial vibrations, which can be converted to a clean, machine-readable audio source signal devoid of background noise. When combined with traditional acoustic microphones, the result is a virtually noise-free signal. Obvious application areas for the HMC sensors include mobile handsets and wearables, home automation, and automotive, with not so obvious ones including access control (speaker recognition) and preventative maintenance enabled by low-level vibration detection used for precision velocity and distance measurements. Full-scale HMC sensor production begins in Q3 2016. Hear the difference for yourself at vocalzoom.com.