TrulyNatural Reviews in 2026

Audience

Companies searching for a large vocabulary continuous speech recognition solution with dynamic natural language understanding

About TrulyNatural

Sensory is a pioneer in the use of embedded neural network-based speech recognition and has become the industry leader in optimizing and engineering speech recognition software with small footprints and minimal MIPS. This extensive experience and continuous innovation have led to the first embedded large vocabulary continuous-speech recognizer (LVCSR) with state of-the-art cloud performance. Unlike voice recognition software often used with smartphones and mobile devices, such as with a voice assistant mobile app, as well as with IoT (internet of things) enabled technologies (Alexa, Google Assistant, Siri, Cortana), Sensory’s solution is embedded and doesn’t require a wifi connection. Many applications don’t need or want to rely on cloud-based connection to do high-performance speech recognition. Others seek a client/cloud distributed system with optimal performance. The market concerns regarding privacy, performance and bandwidth are driving more processing to the edge.

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The fusion of face & voice biometric authentication creates a highly secure, hassle free experience. Sensory’s proprietary speaker verification, face recognition, and biometric fusion algorithms leverage Sensory’s deep strength in speech processing, computer vision, and machine learning. The unique combination of face and voice recognition provides maximum security, yet remains fast, convenient and easy to use, while ensuring the highest verification rates for the user. Biometrics aren’t just beneficial for their security—they’re also more convenient than other methods. Not all biometric solutions are created equal, and some have been known to accept false positives (a phenomenon called “spoofing”). Sensory’s novel approach utilizing passive face liveness, active voice liveness, or a combination of the two leverages a deep learning model that nearly eliminates spoofs from fraudsters using 3D masks, photos, video recordings, and more.

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