
Voice user interface solution for the edge
The combined solution, say the companies, offers developers the option of adding embedded voice interface capabilities to their end products quickly, easily, and efficiently. The voice recognition and keyword wakeup capabilities consume low computational resources and very little power and are highly responsive and reliable even in noisy and far-field conditions.
These characteristics, say the companies, make the solution particularly attractive for IoT edge applications – even those that are battery operated or lack cloud connectivity. This “best-in-class approach features a low BOM single-chip solution that is versatile and small enough to enable voice recognition in a wide variety of applications, including demanding sports products, wearables, hearables, industrial control, and smart home appliances. Its multi-lingual capabilities enable it to work in any target language.
“QuickLogic’s EOS S3 platform provides a robust, yet very low power single chip solution,” says Shlomo Peller, CEO of Rubidium, “making it easy for product developers to optimize their designs for recognition accuracy and power consumption. Optimizing our high accuracy voice interface for the EOS S3 introduces a combined, self-contained solution that addresses the most demanding embedded voice interface functions.”
Brian Faith, QuickLogic’s President and CEO adds, “Rubidium is well known for its voice recognition software, which is widely used in the industry for a broad range of applications. By combining Rubidium’s robust software with our highly-integrated EOS S3 platform, developers can enjoy a simple and smooth development cycle, enabling fast time-to-market along with a high quality, high reliability, and low power solution.”
Developers who wish to implement the combined solution can select among multiple development board options, including QuickLogic’s new Qomu and QuickFeather development kits. The dev kits, EOS S3 SoC, and Rubidium’s Voice User Interface (VUI) software are all available now.
