An audio dataset for genre recognition of Qawwali
- data: Collection of 72 one-minutes duration Qawwali songs. Format is mono with sample rate 44100 Hz
- metadata: JSON formatted schema and metadata file describing QawwalRang dataset: song name, artist, URL, offset and duration
- src: Two python3 programs one to (rebuild) dataset from metadata file and another program attempting to recognize Qawwali as genre of a given song.
- article: Documentation with motivation, description and results from this work
usage: qdsb.py [-h] [--opath OFFLINE_PATH] [--info] datapath metadata
Qawwali dataset builder
positional arguments:
datapath Folder/directory path where qawali reference dataset
will be built
metadata Json metadata file describing reference qawali dataset
optional arguments:
-h, --help show this help message and exit
--opath OFFLINE_PATH Folder/directory to look for qawali songs. Alternate
to internet download
--info Asks the program to report dataset statisticsusage: qdetect.py [-h] [--reload] [--extract]
[--compare [genre features directory]]
songs_dir
Qawwali genre detection program
positional arguments:
songs_dir folder/directory containing songs to be evaluated
optional arguments:
-h, --help show this help message and exit
--reload reload data from songs (required at least once per
songs directory)
--extract extract suitable audio features from raw data
(required at least once)
--compare [genre features directory]
generates classification results comparing qawali wtih
other genre
-
Artist Map
-
Musical properties of dataset
-
Qawwali recognition against GTZAN dataset
