Open AccessVoice control and management in smart home system by artificial intelligence
Author(s) -
I S Balabanova,
Stela Kostadinova,
Valentina Markova,
Stanimir Sadinov,
G I Georgiev
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1032/1/012007
Subject(s) - computer science , adaptive neuro fuzzy inference system , process (computing) , control (management) , reliability (semiconductor) , fuzzy control system , interface (matter) , artificial neural network , supervisory control , backpropagation , artificial intelligence , fuzzy logic , power (physics) , operating system , physics , bubble , quantum mechanics , maximum bubble pressure method
The paper provides a 3D architectural model of Smart Home system. An information data sets of parameters in sound analysis of test voice commands were collected. The following analyzed indicators are included, respectively LZE, LZeq, LZF, LZS, LZI, LAE, LAeq, LAF, LAS, LAI, LCE, LCeq, LCF, LCS, LCI and LEX8h. Backpropagation and Hybrid algorithms based Artificial intelligence (AI) and Adaptive neuro-fuzzy interface system (ANFIS) were synthesized. Selected architectures are integrated in intelligent automated voice control system for human access control, power switching and lighting, air conditioning systems and home appliances. In the process of synthesis, different criteria for network performance in the analysis of activation type in the output layers in AI and input layer in ANFIS are applied. About all considered voice categories for functional control an accuracy of 100.0% was established. Verification procedures concerning reliability of the achieved results were performed for correct confirmation.