Owing to the big advances in the field of speech recognition, this technology is on the rise as a new input method and is used in an increasing number of fields and devices. Particularly, the field of Smart Home and Active and Assisted Living (AAL, former Ambient Assisted Liv-ing) lends itself to control by means of speech recognition and provides, among other possi-bilities, a barrier-free operation. Such a system is already under construction at the University of Technoloy in Vienna and currently uses as a central control unit a Local User Interface (LUI) that is mainly controlled through a touchscreen. In this study the possibility of implementing a control via a speech recognition driver for the LUI is evaluated and realized in a prototype. The prototype consists of a core component and a component for speech recognition. The core component was implemented using the node.js-framework and carries out the communication with the LUI and with the component for speech recognition, as well as it processes and distributes the data. Moreover, this com-ponent offers a clearly defined and well-documented interface, which provides the possibility to integrate different speech recognition technologies to control the LUI. The Microsoft Speech Platform was chosen for the final driver implementation but for the evaluation of the speech recognition control the newer Microsoft technology called Windows Speech API was employed as well. Using speech recognition to control the LUI proved to be satisfactory with the Windows Speech API showing a higher suitability for daily use. Furthermore, the evaluation identified important starting points for further development of a speech recognition control for the LUI regarding the speech recognition technology as well as the LUI itself.