Electronic Control System Of Home Appliances Using Speech Command Words
Aye Min Soe, Maung Maung Latt, Hla Myo Tun, Zaw Min Naing
Index Terms: MATLAB Speech recognition, Feature Extraction, Feature Matching, Mel Frequency Cepstral Coefficient (MFCC), Vector Quantization (VQ),PIC16F887, KST-TX01, KST-RX706
Abstract: The main idea of this paper is to develop a speech recognition system. By using this system, smart home appliances are controlled by spoken words. The spoken words chosen for recognition are “Fan On”, “Fan Off”, “Light On”, “Light Off”, “TV On” and “TV Off”. The input of the system takes speech signals to control home appliances. The proposed system has two main parts: speech recognition and smart home appliances electronic control system. Speech recognition is implemented in MATLAB environment. In this process, it contains two main modules: feature extraction and feature matching. Mel Frequency Cepstral Coefficients (MFCC) is used for feature extraction. Vector Quantization (VQ) approach using clustering algorithm is applied for feature matching. In electrical home appliances control system, RF module is used to carry command signal from PC to microcontroller wirelessly. Microcontroller is connected to driver circuit for relay and motor. The input commands are recognized very well. The system is a good performance to control home appliances by spoken words.
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