This project is about the effect of SVD on speech signal classification. All tests were performed using the Alex-Net ANN architecture to get fair results for all tested methods. The voice used was cut into 1-second segments to make the data uniform.
The dataset we use is a The voice signal used during testing uses the speech command dataset created by Google.
- Clone this repository to your local machine by either clicking on clone button or you can do it form git bash or linux terminal using following command.
git clone https://github.com/dunasi4139/Speech-Signal-Classification-with-SVD-ANN.git
- Once you have codes on your local machine now run jupyter on your machine then upload the code and respective dataset to jupyter home.
- Now you have codes in your jupyter repository or folder now you can see your project on home in jupyter now click on and a new windows with browser will be opened up now click run button and you will see the results.
- Fork this repository
- clone that repository
git clone link_of_that_repository
- Make changes that you want in local repository
- Add those changes
git add .
- commmit those changes
git commit -m 'name of commit'
- push changes to remote repository
- create pull request