Skip to content

danialebrat/Dastgagh_classification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Dastgah_Detector

" Several Deep learning models are implemented to classify persian modal music into seven high correlated categories.

Model folder contains following models :
1 _ Bidirectional LSTM + Bidirectional GRU (inspired by Autoencoder architecture)
2 _ CNN1D / CNN2D (inspired by Autoencoder architecture)
3 _ Residual CNN (inspired by Autoencoder architecture) (1D & 2D)
4 _ CNN + Bidirectional LSTM/GRU (inspired by Autoencoder architecture)
5 _ Residual Bidirectional LSTM following by Bidirectional GRU (inspired by Autoencoder architecture)

Preprocessing folder contains preprocessing Audio files based on following features:
1 _ Chroma_CENS
2 _ MFCC
3 _ Mel Spectrogram

About

Persian Modal Music Classification

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages