[WEEK -5 ] Sound of The City
Authors: M.Çağdaş ÇAYLI , Buğrahan AKBULUT
This week we finally get some concrete results from our program,we have tried Neural Networks(NN) and Support Vector Machines(SVM) techniques on 8750 training data.In training;
Team Members: Buğrahan AKBULUT, M.Çağdaş ÇAYLI
We have started to coding part of our project at this week.Firstly, we extract the features from our dataset which includes nearly 15 GB sound.We extract some general sound features those are ;
This week, we have researched attributes used for predicting air pollution. When we read previous related works, we have seen that the most common way to predict air pollution is using the density of molecules in air as attributes( eg. measuring concentrations of SO2…
Abstract
In our project we decided to use the data set in https://serv.cusp.nyu.edu/projects/urbansounddataset/ contains 27 hours of audio with 18.5 hours of annotated sound event occurrences across 10 sound classes.We may change or add more sound data…