VocalZoom Completes Design-In Phase with iFLYTEK
VocalZoom, a supplier of human-to-machine communication (HMC) optical sensors, has completed the final stage of design work with iFLYTEK, the supplier of China’s most popular speech recognition platform. iFLYTEK is preparing to launch a headset by year's end featuring the VocalZoom HMC solution, which has shown that it can deliver near-perfect speech recognition in noisy voice-control environments.
"Game-changing early test results for the VocalZoom sensor performance have only improved as we now prepare to launch our first product based on this truly innovative HMC solution," said Haikun Wang, senior researcher at iFLYTEK, in a statement. "Our upcoming headset featuring the VocalZoom sensor will redefine ASR performance in its product class and open up new applications in noisy environments where voice control products previously didn't work. We also have entered the development stage with VocalZoom on another product for voice control in the connected car using a forthcoming longer-range version of their sensor."
"We are extremely excited about the progress we have made with iFLYTEK on the company's upcoming voice-control headset product," said Rammy Bahalul, vice president of sales and business development at VocalZoom, in a statement. "We believe that iFLYTEK is poised to revolutionize how users communicate with devices, applications, and machines, leveraging the breakthrough capabilities of our optical HMC sensors. We also look forward to working with iFLYTEK on additional projects, including a reference design that will simplify VocalZoom sensor design-in for product developers using the iFLYTEK ASR, and iFLYTEK's next initiative for voice control and voice biometric solutions in the connected car."
Early tests of the VocalZoom sensor with iFLYTEK's Voice Cloud intelligent speech technology platform showed performance improvements of at least 50 percent compared to traditional speech-recognition technology in a quiet environment, and even better in noisy environments, such as outdoors with street sounds, and in vehicles with windows open, engine noise, music playing, and other interference.
By integrating the VocalZoom optical HMC sensor into a voice-control solution and focusing it on facial skin around the cheeks, ears, neck, and throat, tiny vibrations during speech can be acquired, measured, and converted to an isolated, near-perfect reference signal that machines can understand, regardless of noise levels.
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