Sarangi
Sarangi is a Music Classification Application that can classify mp3 files based on Genre and Mood. The feature extraction necessary for the classification is also part of this project.
Compilation
Assuming mvn is installed on your machine, just move into the App folder and run mvn compile
cd App/
mvn compile
Creating a jar file
In the App folder, run mvn package assembly:single
mvn package assembly:single
Running the application
Assuming you have all necessary jar files in target/, you can run one of four commands:
extract: Extract features of songs in given folder.
java -cp ".:target/*" com.sarangi.app.App extract -F SongFolder -f features.txt
train: Train a classifier from the extracted features.
java -cp ".:target/*" com.sarangi.app.App train -f features.txt -c classifier.txt -C SVM -l 0
- Option "-C"
- SVM: Support Vector Machine
- ANN: Artificial Neural Network
- Option "-l"
- 0: Genre
- 1: Arousal
- 2: Valence
test: Run K-fold validation on the given song features.
java -cp ".:target/*" com.sarangi.app.App test -k features.txt -C SVM
classify:
java -cp ".:target/*" com.sarangi.app.App classify -c classifier.txt -C SVM -f awesomeSong.mp3
Or just type --help
java -cp ".:target/*" com.sarangi.app.App --help
Running the jar
If you have created the jar.
java -jar App-2.0-jar-with-dependencies.jar