Enable intuitive, hands-free voice interaction by using one of our state-of-the-art, low-power keyword spotting offerings.
Enhance the smart home experience for your customers using a brand-wide wake phrase to control all devices in the home.
Give your customers the flexibility to control their devices using a variety of different wake phrases. Fluent.ai’s Alexa, Google, and Cortana WakeWord offerings can be combined together along with any other wake phrase of your choice to enhance the user experience.
Personalize your products with Fluent.ai’s User-Defined WakeWord. Users can quickly and easily create their own WakeWord directly on the device with just three utterances.
Smart Home Devices
Wearables
Robotics
Wake up your voice-enabled device with one of our four low power keyword spotting solutions that beat state-of-the-art systems. Our patented Convolutional Neural Networks (CNN) technology-based wake phrase recognition systems enable incredibly low power and small footprint operations and provide low false accept and false reject rates even in far-field and noisy scenarios where conventional systems fail.
Minimum Device Requirements*
Solution |
Single WakeWord |
|---|---|
|
|
*Note that these numbers are estimated on a particular Cortex-M4 platform. The exact footprint might change depending on your hardware, its features, and the support of various Fluent libraries for the hardware.
Minimum Device Requirements*
RAM
-
SINGLE WAKEWORD25 KB
-
MULTI-WAKEWORD25 KB
-
WAKEWORD + Speaker Recognition30 KB
Storage
-
SINGLE WAKEWORD200 KB
-
MULTI-WAKEWORD200 KB
-
WAKEWORD + Speaker Recognition300 KB
Latency
-
SINGLE WAKEWORD100 ms
-
MULTI-WAKEWORD100 ms
-
WAKEWORD + Speaker Recognition100 ms
Minimum Frequency
-
SINGLE WAKEWORD30 MHz
-
MULTI-WAKEWORD30 MHz
-
WAKEWORD + Speaker Recognition30 MHz
Recommended Platforms
-
SINGLE WAKEWORDARM Cortex M4 or higher
-
MULTI-WAKEWORDARM Cortex M4 or higher
-
WAKEWORD + Speaker RecognitionARM Cortex M4 or higher
*Note that these numbers are estimated on a particular CortexM4 platform. The exact footprint might change depending on your hardware, its features, and the support of various Fluent libraries for the hardware.
Universal Language & Accent Support
Fluent.ai’s unique Speech to Intent technology allows us to quickly develop speech recognition models in any language and for any accent on demand.
En NA
En UK
En AUS
Sp MEX
Sp ESP
Fr FRN
Pr BRA
De
Ko
It
Mn
Hr
Pl
Ru
Tr
Fluent.ai Futures: Speaker Recognition
Fluent.ai is developing industry-leading solutions for speaker recognition along with wake word recognition for personal devices. With Fluent Speaker Recognition, the device is able to recognize one among many users in shared usage scenarios and respond as per a user's personal preferences.
Fluent.ai is a leader in low-power speech understanding solutions. Our systems are highly portable and require a very light footprint. We support a wide range of hardware platforms. In particular, both our WakeWord and AIR systems are able to run on ARM CortexTM M4 series of microcontrollers (without needing a Floating Point Compute Unit) from AmbiqMicroTM and STMicroelectronicsTM, ARM CortexTM M7 series, ARM Cortex A series of processors, and many digital signal processors (DSPs). We have also ported our algorithms to various AI chips with specific neural network accelerators. Contact us if you have specific hardware requirements.
Supported
Hardware
Enhance your devices with Fluent.ai's
offline, robust and multilingual voice AI engine
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