Sensory, the Silicon Valley innovator of machine learning solutions for speech recognition and biometric identification, currently leading in edge AI voice implementation efforts is now extending its reach to the cloud. With its new SensoryCloud.ai platform, the company is offering a hybrid edge and cloud solution that puts brands and manufacturers in control of their AI deployments.
Sensory historically focused on AI on the edge. However, many of the company's clients developing embedded solutions indicated a strong desire for cloud solutions with degrees of freedom not available from the typical cloud service providers. “We have a history of building fast and accurate AI models, and we paired this capability with some of the brightest and freshest minds in the cloud industry,” states Todd Mozer, Sensory CEO. “The result is a flexible cloud platform that combines state-of-the-art AI with modern, best in class cloud technologies to address reliability and latency.”
Sensory is now announcing the beta release of SensoryCloud.ai, a complete AI as a Service platform designed for processing voice and vision AI workloads in the cloud. Leveraging Sensory’s decades of experience with voice and vision AI, the SensoryCloud platform is launched with AI services such as Speech to Text, Sound Identification, Wake Word Verification, Face Verification, and Speaker Identification. Additional services and updates will be offered in the future.
With SensoryCloud, manufacturers and developers are offered a cloud AI platform that puts them in full control with a focus on flexibility and accuracy. Companies get complete control of how their AI solutions are deployed and how the data is managed and accessed. SensoryCloud delivers a language- and platform-agnostic AI inference engine wrapped in a highly-developed API delivered in containers or light-weight SDKs. Further, the AI experts at Sensory leverage both open-source and proprietary solutions to ensure best-in-class performance.
At its launch stage, SensoryCloud.ai includes:
SensoryCloud Speech to Text (STT) – A GPU-accelerated speech recognition engine that can be quickly customized to process application-specific jargon. Ideal for either streaming or batch-mode operations with typical word error rates within trained domains of less than 5%.
SensoryCloud Wake Word Revalidation – Leveraging the experience of Sensory’s expertise in wake word detection, the cloud-based verification of custom, branded wake words enables up to a 90% reduction in false alarm events.
SensoryCloud Sound Identification – Offers an extensive library of sounds with a multi-stage approach optimized for speed, efficiency, and accuracy. Developers can quickly train and learn custom sounds, in addition to the standard sounds like alarms, sirens, breaking glass, crying babies, coughs, sneezes, doorbells, and more.
Sensory will be providing demos of SensoryCloud AI services at CES 2022. Interested parties should visit SensoryCloud.ai.
Sensory technologies are widely deployed in consumer electronics applications including mobile phones, automotive, wearables, toys, connected industrial devices, PCs, medical products, and various home electronics. Sensory’s product line includes TrulyHandsfree voice control, TrulySecure biometric authentication, and TrulyNatural large vocabulary natural language embedded speech recognition.
www.sensory.com
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Sensory Introduces SensoryCloud.ai Cloud-Based Voice and Vision AI Services
January 5 2022, 09:00
Sensory, the Silicon Valley innovator of machine learning solutions for speech recognition and biometric identification, currently leading in edge AI voice implementation efforts is now extending its reach to the cloud. With its new SensoryCloud.ai platform, the company is offering a hybrid edge and cloud solution that puts brands and manufacturers in control of their AI deployments. Sensory will be providing demos of SensoryCloud AI services at CES 2022.