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POLYN Launched A Voice Processing Microchip Delivering Industry-First Voice Extraction

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Update time : 2022-10-15 10:30:31
        Recently, POLYN announced the launch of the voice processing Tiny AI chip NeuroVoice, becoming the first company to realize the combination of voice detection (VD) and voice extraction (VE) in an ultra-low power analog neuromorphological chip.
        "Earplugs, smartphones, hearing aids, game headphones and intercom systems need new technologies to take voice processing to a new level." Eugene Zetserov, vice president of marketing and business development of POLYN, said.

        "The current speech signal processing methods consume a lot of power and are not enough in some cases. Instant speech recognition is important for hearing aids. In noisy environments, AI based speech signal extraction, including irregular noise, provides a better auditory experience than standard noise elimination filters. Neural networks are perfect tools for speech processing."
        POLYN's solutions allow AI to run on a variety of IoT and autonomous devices with higher security and reliability. The solution does not require an Internet connection and reduces power consumption and latency. It is reported that NeuroVoice runs at 100W power and performs reasoning within 20s. It allows customers to create micro products to improve their end users' listening experience.
        LoRa is a very popular technology, especially in the EU, thanks to its low cost, low power consumption and long-distance communication capabilities. However, due to the narrow bandwidth, it is difficult to transmit the original data of the vibration sensor through LoRa. POLYN's NASP can provide clear requirements for sensor data preprocessing.
        "Embedded use reduces the measurement data sent to the cloud from machinery, rail, railway vehicles, wind turbines, and oil and gas pumps, solving the fundamental problem of low bandwidth required by IoT systems." POLYN said that the use of embedding for sensor data preprocessing can reduce noisy raw data streams by 1000 times.

 
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