i am working on a project related to audio events recognition in real time like a door bell, baby crying, footstep, I have 9 categories of sound events so the first step i did was getting many wav files for the categories i want to recognize (the length of each audio file is 2-3 seconds),then i ran the MFCC function for every single audio file and took the average of it and added it to an excel sheet.
the second step was making a test for that model using the Gaussian methods(by matlab)
here i am making a test by 90%training files and 10% testing files
so, why am I getting low recognition results ,and is there anyway to improve it? thanks