Audio processing FFT of chunks of audio
http://www.mathworks.com/help/toolbox/signal/ref/spectrogram.html

This pretty standard fare. For audio I would recommend a hanning() window and an overlap of half a window length so 

x = randn(44100,1); % some random noise sample of a second
S = spectrogram(x,hanning(512),256); % short term FFT


Assuming a sample rate of 44.1 kHz this gives you frames about 11.6 ms length. You can get to exactly 10ms but that requires FFTs that are not a power of 2.