This paper proposes a method of Speech recognition using Self Organizing Maps (SOM) and actuation through network in Matlab. The different words spoken by the user at client end are captured and filtered using Least Mean Square (LMS) algorithm to remove the acoustic noise. FFT is taken for the filtered voice signal. The voice spectrum is recognized using trained SOM and appropriate label is sent to server PC. The client and the server communication are established using User Datagram Protocol (UDP). Microcontroller (AT89S52) is used to control the speed of the actuator depending upon the input it receives from the client. Real-time working of the prototype system has been verified with successful speech recognition, transmission, reception and actuation via network.
SUBASH CHANDAR, A.; SURIYANARAYANAN, S.; and MANIKANDAN, M.
"SPEECH RECOGNITION USING SOM AND ACTUATION VIA NETWORK IN MATLAB,"
International Journal of Electronics Signals and Systems: Vol. 3:
3, Article 10.
Available at: https://www.interscience.in/ijess/vol3/iss3/10