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CEVA Partners With to Offer Multilingual Speech Understanding Solutions for Intelligent Edge Devices’s suite of technologies for neural network-based speech-to-intent applications optimized for CEVA’s latest generation of low power audio and sensor hub DSPs targeting wearables, consumer devices and IoT

CEVA, Inc., the leading licensor of wireless connectivity and smart sensing technologies, and, a leading provider of on-device, small footprint and multilingual speech understanding solutions, announced that the companies have partnered to offer ultra-low power speech-to-intent solutions for intelligent edge devices.’s suite of speech-to-intent technologies has been ported and optimized for CEVA’s low power audio and sensor hub DSPs, providing a high performance, robust solution for OEMs and ODMs looking to integrate intelligent voice activation and control into their wearables, consumer devices and IoT products.

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“CEVA’s leadership position in licensable low power DSPs and software for voice-enabled embedded devices makes them an ideal partner to further proliferate our speech-to-intent software in the market,” said Vikrant Tomar, Founder and CTO, “Voice activation and control is emerging as one of the most sought-after technologies in an increasingly contactless world, and together we’re bringing a cost-effective and highly accurate edge AI solution that can understand intent from speech, even in the noisiest environments.”

“’s speech-to-intent technology with multilanguage support running on our DSPs is ideal for power-constrained intelligent devices where voice is the primary user interface,” said Moshe Sheier, Vice President of Marketing at CEVA. “Having all the speech processing take place on the edge device ensures privacy of the data, low latency and instantaneous response. Together, we are lowering the entry barriers for adding high quality, naturally spoken voice control to any device.”

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CEVA’s scalable audio and sensor hub DSPs are optimized for sound processing applications ranging from always-on voice control up to multiple sensors fusion. They have been specifically designed to tackle multi-microphone speech processing use-cases, high quality audio playback and post-processing, and on-device sound neural network implementations. In addition, a large 3rd party ecosystem of audio/voice software, hardware and development tools companies have optimized their solutions for CEVA DSPs, for a wide array of use cases and applications.

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