Codes for paper "Spectrogram enhancement using multiple window Savitzky Golay (MWSG) filter for robust bird sound detection" which is published in IEEE Transactions on Speech,Audio and Language Processing March 2017
IEEE Xplorer Link
MatLab Version used : R2014a.

Description of each MatLab file present in the folder is described below:

calculate Multiple Window Savitzky Golay(SG) Filter of Matrix Length M and Order P default M=21 P=3 High Pass filtered at 1Khz.
DSP System ToolBox of MatLab is required to run this program
Parameters
signal : I/P audio file
fs : Sampling frequency
M : Matrix Length required for SG Coefficients
P : Order for SG Coefficients
MWSG : Multiple Window Savitzky Golay(SG) Filtered Spectrogram

Calculate four directional spectrogram and summed up directional spectrogram calculated on a mentioned patch of len
Parameters
Spect : spectrogram
x_D1 : spectrogram which is replaced by values in the patch of length len at angle 0 degrees
x_D2 : spectrogram which is replaced by values in the patch of length len at angle 45 degrees
x_D3 : spectrogram which is replaced by values in the patch of length len at angle 90 degrees
x_D4 : spectrogram which is replaced by values in the patch of length len at angle 135 degrees

Generate segmented vector(PdframesC) based on the threshold on Input Spectrogram (Spect)
Refrence Paper : Bird acoustic activity detection based on morphological filtering of the spectrogram
Parameters
Spect : Spectrogram
d : Predicted frame array

This file is included to demonstrate the steps of algorithm we used to detect Bird sounds using Multiple Window Savitzky-Golay(MWSG) Filter

This file contains the ground truth of the audio file 'PC5_20090606_050000_0010' which is taken from MLSP dataset and is used to demonstrate our algorithm.
Ground truth is frame wise 0s and 1s