Sensory’s TrulyHandsfree™ embedded always on and always-listening speech recognition platform has received a major upgrade boost in accuracy. By adding advanced deep learning and filter-bank features, Sensory increased accuracy by up to 80%, even in noisy environments.
Sensory's Trulyhandsfree has received a major upgrade boost in accuracy. Source: Sensory.comTrulyHandsfree 4.0 offers such features as new phrase spotting techniques and neural nets engine that supports deep learning acoustic models, dramatically improving speech recognition accuracy in real-world situations.
Designed to take advantage of deep learning and other cutting edge techniques, Sensory uses a unique form of a neural network with deep learning to achieve acoustic models an order of magnitude smaller than the present state-of-the-art. The user's spoken request can be recognized in the middle of speech, or when surrounded by ambient noise.
The technology is able to fully operate with less than a 2mA draw on the battery, and as low as 1mA with Sensory’s low power sound detection intellectual property. Enhanced architectural scalability allows for low-power DSP implementations with secondary accuracy improvements at the operating system level.
"TrulyHandsfree was an industry-first that literally changed the way people interact with devices of all kinds," says Todd Mozer, CEO of Sensory Inc. "Many thought it was impossible to create an always-listening voice user interface, that had both accuracy and low power, but Sensory did it, and the industry has followed but trailed in performance. TrulyHandsfree 4.0 takes performance to a whole new level with an accuracy, footprint and power consumption that others just can’t touch."
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