20 Image Processing Conversions using OpenCV

Developed a Gender Recognition project using voice and speech analysis techniques, leveraging a dataset comprising 3,168 recorded voice samples from male and female speakers. Utilized acoustic analysis in R with seewave and tuneR packages to preprocess voice samples, extracting features such as mean frequency, standard deviation of frequency, median frequency, and spectral entropy within the human vocal range (0hz-280hz).