@article{Aboulkhir_Khoulji_Jourani_Kerkeb_2017, title={Building An Automatic Speech Recognition System for Home Automation}, volume={5}, url={https://journals.scholarpublishing.org/index.php/TMLAI/article/view/3190}, DOI={10.14738/tmlai.54.3190}, abstractNote={<p class="Abstract">This paper presents a study on automatic speech recognition (ASR) systems applied to home automation. So a detailed study of the architecture of speech recognition systems was carried out. The objective is to select a speech recognition software that must operate in remote speech conditions and in a noisy environment. The proposed system is using an ASR toolkit called Kaldi, which must communicate as an open platform communication (OPC) client developed in C++, with any home automation system. The latter behaves like an OPC server.</p><p class="keywords"> </p>}, number={4}, journal={Transactions on Engineering and Computing Sciences}, author={Aboulkhir, Mohamed and Khoulji, Samira and Jourani, Reda and Kerkeb, ML}, year={2017}, month={Sep.} }