Hanning and Hamming Window
Max is right that the difference between Hamming and Hann windows are small. (BTW, I am a proponent of the movement to totally do away with them term "Hanning".  There is no Dr. Hanning nor Mr./Ms. Hanning that the window is named after.)

The Hamming window is 92% Hann window and 8% rectangular window.  Hamming found out that he was able to reduce the height of the maximum side lobe by doing that.

Another issue that I just thought of:  The Hann window (and some others) is a complementary window; that is that the latter half of the window of one frame adds to the first half of the following frame to 1.  For analysis, the property of being complementary is usually not important, but for synthesis (or reconstruction), this property is salient.

So if you like symmetry about 0, the Hann window having even length $N$, is

$$ w\left( \tfrac{n}{N} \right) = \begin{cases} 
\tfrac12 + \tfrac12 \cos\left( 2 \pi \tfrac{n}{N} \right) \qquad &amp; |n| \le \frac{N}{2} \\
0 \qquad &amp; |n| \ge \frac{N}{2} \\
\end{cases} $$

The property of being complementary is: 

$$ \sum\limits_{m=-\infty}^{+\infty} w\left( \tfrac{n-mH}{N} \right) = 1 $$

then

$$\begin{align}
x[n] &amp;= x[n] \times 1 \\
     &amp;= x[n] \times \sum\limits_{m=-\infty}^{+\infty} w\left( \tfrac{n-mH}{N} \right) \\
     &amp;= \sum\limits_{m=-\infty}^{+\infty} x[n] w\left( \tfrac{n-mH}{N} \right) \\
     &amp;= \sum\limits_{m=-\infty}^{+\infty} x_m[n-mH] \\
\end{align}$$

where

$$\begin{align}
x_m[n-mH] &amp; \triangleq x[n] w\left( \tfrac{n-mH}{N} \right) \\
x_m[n] &amp; = x[n+mH] w\left( \tfrac{n}{N} \right) \\
\end{align}$$

So $x_m[n]$ is a finite-length frame of signal of length $N$ and represents the audio in the neighborhood of $x[n+mH]$ or $m$ hops from the beginning.  $H = \frac{N}{2}$ is the frame hop displacement.

The Short-Time Fourier Transform (STFT) is:
$$\begin{align}
 X_m[k] &amp;= \sum\limits_{n=-\tfrac{N}{2}}^{\tfrac{N}{2}-1} x_m[n] e^{-j 2 \pi nk/N} 
\\
\\
   &amp;= \sum\limits_{n=-\tfrac{N}{2}}^{\tfrac{N}{2}-1} x[n+mH] w\left( \tfrac{n}{L} \right) e^{-j 2 \pi nk/N} \\
\\
&amp;= \sum\limits_{n=0}^{N-1} \hat{x}_m[n] e^{-j 2 \pi nk/N} \\\end{align}$$

where 

$$ \hat{x}_m[n] = \begin{cases}
x_m[n] \qquad  &amp; 0 \le n &lt; \tfrac{N}{2} \\
\\
x_m[n-N] \qquad &amp; \tfrac{N}{2} \le n &lt; N \\
\end{cases}$$