Separating Voice from Noise
Setem Technologies has been acquired by , a leading supplier of voice solutions. The combination of Setem algorithms and XMOS architecture will accelerate the development and deployment of innovative technologies capable of driving the rapid adoption of voice user interfaces for IoT products.Applications Technology
Setem Software Platform
Our unique algorithms provide excellent results to improve far-field voice input for speech recognition systems and human communication in noisy and highly reverberant environments.
Products, Integration & Technology
The Setem Software Plattform solves the “Cocktail Party Problem” by applying Blind Signal Source Separation Technology to focus on a specific speech source and mitigate extraneous background noise or interference.
The Setem Software Platform works with 2 or 3 microphones and runs real time with small processing demands on tablets, ARM-based processors or cell phones. Please contact us for licensing …
Client project driven development and integration of the Setem Software Suite for implementation in OEM products, at a processor or application level. We can also provide client research support utilizing …
Using a mathematical representation of the soundscape based on years of research and development by Prof. Kevin Short, our algorithms separate the speaker of interest and allow enhancing and remixing …
Setem Technologies has been acquired by XMOS Ltd (www.xmos.com), a leading supplier of voice solutions. The combination of Setem algorithms and XMOS architecture will accelerate the development and deployment of innovative technologies capable of driving the rapid adoption of voice user interfaces for IoT products.
Setem engineers continue to develop patented Blind Source Signal Separation technologies from the Boston office headed by Dr Kevin Short, Chief Scientist, XMOS, and Jochen Meissner, General Manager, XMOS.