This code snippet, written in a mix of MATLAB-like pseudocode,...

This code snippet, written in a mix of MATLAB-like pseudocode, performs the following tasks step-by-step:

1. Define the Start of an ERB Bandwidth Sequence (Reversed Direction):

   • The code appears to compute an approximation of Equivalent Rectangular Bandwidths (ERB). The first ERB value is defined explicitly as B(1) = 400.

2. Generate a Series of Bandwidth Values in Reverse from About 20 kHz:

   • A for loop iterates over the indices k from 2 to 35. During each iteration, the next bandwidth value B(k) is calculated by subtracting a value (dependent on the previous B(k-1)) from the previous bandwidth.
   • The subtraction formula includes:
     • A fixed minimum step size of 2.
     • An additional component related to the ERB equation: round(24.7 * (4.37 * B(k-1) / 20 + 1) / 50).
     • This guarantees that the sequence roughly represents decreasing bandwidths.

3. Replace Specific Bandwidth Values for Convenience:

   • Not explicitly done in this code, but the comment indicates that around 700 and 800 Hz, the sequence was modified to use 750. This creates 32 bands total that are "convenient for the DNN" (Deep Neural Network).

4. Reverse the Bandwidth Array:

   • After calculating all values B(1) through B(35), the array B is reversed using B(end:-1:1).

5. Display the Reversed Values:

   • The reversed values of B are printed as a comma-separated list, followed by a newline (\n).

Summary:

• This code calculates a sequence of ERB-like bandwidth values starting from 400 Hz and decreasing, using a predefined formula that simulates the ERB scale.
• Adjustments are made (though not explicitly in the shown code) to ensure that specific bandwidths are replaced by specific values for compatibility with a deep neural network that uses 32 bands.
• Finally, the reversed sequence of bandwidth values is printed.