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Is Sensory an AI Company?

Since its inception, Sensory has been at the forefront of innovation in voice recognition technology.  Initially tackling the challenge of enabling low cost speech recognition on resource-constrained devices, Sensory introduced the RSC-164 in 1994. This groundbreaking microcontroller, inspired by Intel’s 8051™ core, boasted 2KB of RAM and 64KB of ROM (yes that is “KB”!), a marvel for its time, achieving speech…
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Sensory: A Key to The New Siri Era

In the fast-paced world of technology, even a single word can make a difference. Apple, one of the industry's pioneers, has recently announced a significant change in their voice assistant service. Instead of the former "Hey Siri" wake word, users can now simply invoke Siri by saying "Siri" across iPhone, iPad, Mac, HomePod, and other devices.  For the uninitiated, Sensory…
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Sensory and XMOS: Powering the Next Era of Voice Control Technologies

A new era of voice control technology is unfolding before us, and leading this digital revolution are Sensory and XMOS. By merging their unique and cutting-edge technologies, these two pioneers are redefining what's possible in the voice activation realm. In today's blog, we'll explore the fusion of Sensory's TrulyHandsfree and XMOS's xcore®-voice, and how they're shaping a future where interaction…
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Revolutionizing Sound Analysis: Unveiling Cloud-Based Sound ID

We are excited to announce the launch of our new Cloud-based SoundID model, which is capable of detecting over 400 different sound classes with exceptional accuracy. This powerful deep learned technology has enormous potential in a range of industries, including healthcare, security, automotive, and industrial automation. The Cloud-based SoundID model is highly accurate and can provide a list of the…
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SoundID Enhanced: Unveiling the Latest Low-Power Sound Detection Features for Diverse Industries

Detecting sound events is crucial in a variety of industries, from automotive, security to healthcare and others. However, solutions are often required to run on tiny embedded platforms, that's why we are excited to introduce Low-Power Sound Identification - a machine learning technology that can detect sound events using minimal power. Our low-power SoundID solution can run on DSP chips,…
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