Intelligent Unmanned Aerial Vehicle (UAV) Controlled based on Voice-Activated Intelligent Remote

V-AIR

My main contributions included brainstorming the concept of a voice-controlled UAV system, collecting a dataset by recording voice samples for each command used, and performing data preprocessing such as voice signal segmentation (chopping) and preparing the dataset for model training and testing.

On the technical side, I developed MATLAB code for feature extraction using Mel-Frequency Cepstral Coefficients (MFCC), prepared training and testing data, trained and evaluated the Support Vector Machine (SVM) model, and analyzed the resulting classification performance. I also created various graphs and visualizations in MATLAB to illustrate each stage of signal processing, from raw signals, preprocessing, and MFCC, to the classification results.

In the manuscript preparation, I was responsible for writing the Abstract, Experimental Results, and Conclusion sections, as well as assisting in the preparation of figures and visualizations used to explain the research results.