Optical sensors improve SNR in human-machine communications

To augment stagnant signal-to-noise ratios (SNR), speech enhancement company 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, , 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.

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