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diff --git a/opt/noNoise-master/README.rst b/opt/noNoise-master/README.rst
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+Introduction
+============
+
+With home made videos or screencasts, we often find a constant noise in our recording due to electric wiring, fan, choke coil of fluorescent
+lamp etc. This could be  irritating.But fortunately, these noises can be easily detected and can be removed with GUI based tools, such as 
+Audacity.
+To use any GUI based tool, we need to extract audio manually and then feed it to the software, once done we have to again join the noisefree
+audio with the video. This is OK with 1 or 2 files. But to for automating each step and to handle multiple files we need a simple script.
+
+One can simply use `sox` and `ffmpeg` commands shown below in given order to get the same result(see `Working`).
+
+
+UPDATE for 14.04
+----------------
+
+Install **libav-tools** and **sox**.
+
+Run as ::
+
+	$ bash noNoise.sh noisyVideo.mp4 noise-reduction-factor
+
+This will create an backup file of original video in **/tmp**
+and noisefreeVideo in **pwd**.
+
+Example ::
+
+	$ bash noNoise.sh Kazam_screencast_00000.mp4 0.2
+
+It will create **noisefree_Kazam_screencast_00000.mp4.mp4** in **pwd**
+and a backup of original video in **/tmp/orig_Kazam_screencast_00000.mp4**
+
+This is just an early fix, will add more features soon. 
+
+Please raise issues for any bugs or email me for feature requests. 
+
+Also, I recently came across **Kazam** package (available in repositories),
+its a good screen recorder with most needed keyboard shortcuts, such as
+
+* start recording: Super + Control + r
+* pause recording: Super + Control + p
+* finish recording: Super + Control + f
+* show Kazam: Super + Control + s
+* quit: Super + Control + q
+
+Required packages (Upto Ubuntu 13.10)
+-------------------------------------
+
+ *  sox
+
+ * ffmpeg
+
+ * ffmpeg2theora
+
+ * libmp3lame0
+
+ * Linux machine with default python 
+
+
+
+Usage
+-----
+
+### Remove noise from a single file
+
+    
+      $ python noNoise.py VideoWithNoise.ogv  CleanVideo.ogv
+                            (source file)     (destination file)
+                    
+(OR)
+
+      $ python noNoise.py VideoWithNoise.ogv  CleanVideo.ogv     0.21
+                            (source file)     (destination file) (noise factor)  
+
+   The third argument is optional(Noise factor). The scale spans from 
+   `0.0` to `1.0`. Zero means no noise supression and 1.0 means full. The full
+   scale is avoided. Best optimum result is found between `0.2` to `0.3`. By default
+   script will take `0.26`. One can experiment with noise factor to get best noise
+   free video. 
+   NOTE: Careful, destination file will be overwritten if exist in given path.
+   
+
+
+### Remove noise from all files inside a directory
+
+      
+      $ python noNoise.py allNoisyFiles  allCleanFiles
+                            (source dir)  (destination dir)
+
+(OR)
+                        
+      $ python noNoise.py allNoisyFiles  allCleanFiles      0.21
+                          (source Dir)   (destination dir) (Noise factor)
+
+NOTE: Please don't use any '/' after directory name. It will spit error.
+The fix is possible, but I don't want to spend time on it. This script is dirty
+but useful(atleast for me). When I find time, I will surely modify it. Meanwhile
+you all are welcome to add modifications.
+
+
+
+Working:
+-------
+###1. Extracting video in less compressed format
+
+        ffmpeg -i 1.ogv -sameq -an 2.wmv 
+   
+   Extracting video in wmv format for easy editing(less compressed
+   than mp4,ogv,avi). We can leave the video intact and combine the
+   noiseless audio later to it, but it will hamper the video quality
+   of the newly joined video.
+   The size of this 'wmv' will be approximately 5 times than that of
+   original 'ogv' video.
+   
+
+###2. Extracting audio in less compressed format
+   
+        ffmpeg -i 1.ogv -sameq 2.wav
+   
+   Extracting audio in wav format for fast & easy editing.The size of the
+   `wav` audio file will be approximately 8 times larger than the original.
+
+
+###3. Getting noise profile
+        
+        sox 2.wav -t null /dev/null trim 0 0.5 noiseprof myprofile
+   
+   Creating a noise profile of original audio at 0 to 0.5 second.
+   One can change this duration if required. In most cases the
+   standard noise is evenly distributed throughout the recording(eg: 
+   fan, PC etc), so the default 0 to 0.5 value will do the trick.
+
+###4. Converting audio according to noise profile
+    
+       sox 2.wav 2-noisefree.wav noisered myprofile 0.26
+
+   Creating a noisefree audio based on our noise profile. The value 
+   `0.26` is important. This is scale for noise removal. 0 means no removal
+   and 1 means full removal. The full removal will supress most of the
+   orginal audio too. So as per my R&D, I found `0.26` to be most optimized
+   one for noise removal.
+
+   
+###5. Combining back audio and video
+   
+       ffmpeg -i 2-noisefree.wav -i 2.wmv -sameq vid.wmv
+
+   Merging new noiseless audio and old video together.
+
+
+###6. Final conversion
+       
+       ffmpeg2theora vid.wmv -o vid.ogv
+
+   Now converting wmv into our favorite ogv format. This will create a 
+   `vid.ogv` of almost same size that of original video.
+
+
+License
+-------
+GNU GPLV3
diff --git a/opt/noNoise-master/noNoise.py b/opt/noNoise-master/noNoise.py
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+#!/usr/bin/python env
+
+"""This script can be used to remove audio noise from 'ogv' videos. 
+   
+   Usage:(for future Srikant & all users)
+  
+   1)Remove noise from a single file:
+   ----------------------------------
+   $ python noNoise.py VideoWithNoise.ogv  CleanVideo.ogv
+                         (source file)     (destination file)
+                    
+                        (OR)
+
+   $ python noNoise.py VideoWithNoise.ogv  CleanVideo.ogv     0.21                      
+                         (source file)     (destination file) (noise factor)  
+
+   The third argument is optional(Noise factor). The scale spans from 
+   0.0 to 1.0. Zero means no noise supression and 1.0 means full. The full
+   scale is avoided. Best optimum result is found between 0.2 to 0.3. By default
+   script will take 0.26. One can experiment with noise factor to get best noise
+   free video. 
+   NOTE: Careful, destination file will be overwritten if exist in given path.
+   
+
+
+   2)Remove noise from all files inside a directory:
+   -------------------------------------------------
+   $ python noNoise.py allNoisyFiles  allCleanFiles
+                        (source dir)  (destination dir)
+
+                        (OR)
+                        
+   $ python noNoise.py allNoisyFiles  allCleanFiles      0.21
+                        (source Dir)   (destination dir) (Noise factor)
+
+
+   NOTE: Please don't use any '/' after directory name. It will spit error.
+   The fix is possible, but I don't want to spend time on it. This script is dirty
+   but useful(atleast for me). When I find time, I will surely modify it. Meanwhile
+   you all are welcome to add modifications. Please find this copy and future updates
+   at http://github.com/srikantpatnaik.
+   Thanks for your time.
+
+   Details of each commands are in README.rst.
+          
+"""
+
+from os   import system, path, listdir, chdir, mkdir
+from sys  import argv
+from time import sleep
+
+def checkType():
+    #Check for type of first argument(file or dir).
+    if path.isdir(argv[1]):
+        processDir()
+    else:
+        processFile()
+    return
+
+
+def processDir():
+    #make dir to save all new files
+    mkdir(argv[2])
+    #cd to source dir   
+    chdir(argv[1])
+    for eachfile in listdir('.'):
+        execute(setCommands(eachfile))
+    return
+
+
+def processFile():
+    #Calling setCommands with source file.
+    #Will return list of commands to be executed
+    execute(setCommands(argv[1]))
+    return
+    
+
+def execute(cli):     
+    #total 7 commands with some delay for disk
+    #write and sync    
+    for each in cli:
+        system(each)
+        sleep(0.2)
+    return    
+
+
+def setCommands(filename):
+     #The dirty function.        
+     cli = [None]*7
+     cli[0] = 'ffmpeg -i ' + ' ' + filename + ' -sameq -an ' + '.rawVideo.wmv'
+     cli[1] = 'ffmpeg -i ' + ' ' + filename + ' -sameq ' + '.rawAudio.wav'
+     cli[2] = 'sox .rawAudio.wav -t null /dev/null trim 0 0.5 noiseprof myprofile'
+     #Checks for noise factor.
+     if len(argv)>3:
+         cli[3] = 'sox .rawAudio.wav .noisefree.wav noisered myprofile ' + argv[3]
+     else:
+         #The default value for noise factor is 0.26. Change accordingly.   
+         cli[3] = 'sox .rawAudio.wav .noisefree.wav noisered myprofile 0.26'
+     #Creating a less compressed file to retain video quality.
+     cli[4] = 'ffmpeg -i .noisefree.wav -i .rawVideo.wmv -sameq .combined.wmv'
+     #Checks for file or directory. If dir, the output is saved in different directory.
+     if not path.isfile(argv[1]):
+         cli[5] = 'ffmpeg2theora .combined.wmv -o ' + '../' + argv[2] + '/' + filename
+     else:
+         #Will create the final ogv video from wmv.
+         cli[5] = 'ffmpeg2theora .combined.wmv -o ' + argv[2]
+     cli[6] = 'rm .rawVideo.wmv .rawAudio.wav .noisefree.wav .combined.wmv myprofile'
+     return cli
+
+
+
+if __name__ == '__main__':
+     checkType()
diff --git a/opt/noNoise-master/noNoise.sh b/opt/noNoise-master/noNoise.sh
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+#!/bin/bash
+
+# Please install 'libav-tools' for Ubuntu 14.04 onwards
+# As ffmpeg is obsolete, it has been replaced by 'avconv'
+# Instead of python script, a simple bash one is sufficient
+
+# A beta release for noNoise-v2
+
+# Usage example
+# $ bash noNoise.sh noisyVideo.mp4 noise-reduction-factor
+							
+# noise-reduction-factor: 0 means no reduction, 1 means 
+# maximum damping of noise (recommended is 0.2 to 0.4)
+
+
+
+# Making a backup of the original video
+echo "Back up original video at  /tmp/orig_$1"
+cp -v $1 /tmp/orig_$1
+
+# Extracting audio from noisyVideo
+avconv -i $1 -f wav -ab 192000 -vn /tmp/noisy.wav
+
+# Creating a noise profile, basically looking for white noise
+# in 0 to 0.5 sec of the clip (change if you like)
+sox /tmp/noisy.wav -n trim 0 0.5  noiseprof myprofile
+
+# Removing noise using noise profile
+sox /tmp/noisy.wav /tmp/noisefree.wav noisered myprofile $2
+
+# Replacing noisyAudio with noisefree audio in original video
+avconv -i $1 -i /tmp/noisefree.wav -c:v copy -c:a aac -strict experimental -map 0:v:0 -map 1:a:0 noisefree_$1.mp4
diff --git a/opt/noNoise-master/nonoise.desktop b/opt/noNoise-master/nonoise.desktop
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+++ b/opt/noNoise-master/nonoise.desktop
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+[Desktop Entry]
+Keywords=FOSSEE updates
+Name=FOSSEE-updates
+Comment=FOSSEE updates
+Exec=bash /opt/noNoise-master/noNoise.sh
+#Icon=/opt/FOSSEE-netbook-patcher/patcher.png
+Terminal=false
+Type=Application
+MimeType=text/plain
+Categories=GTK;Other;
diff --git a/usr/share/applications/nonoise.desktop b/usr/share/applications/nonoise.desktop
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+++ b/usr/share/applications/nonoise.desktop
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+[Desktop Entry]
+Keywords=FOSSEE updates
+Name=FOSSEE-updates
+Comment=FOSSEE updates
+Exec=bash /opt/noNoise-master/noNoise.sh
+#Icon=/opt/FOSSEE-netbook-patcher/patcher.png
+Terminal=false
+Type=Application
+MimeType=text/plain
+Categories=GTK;Other;