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 …
Based in the Boston area, Setem Technologies is the pioneer in Blind Source Signal Separation technology for audio and speech applications with an experienced engineering team and broad IP portfolio.
Founded by University of New Hampshire Mathematics Professor Kevin Short, the company continues to build out its strong IP base and is now commercializing its technology platform.