genre-erkennung-pipeline

Genre-erkennung

##dependencies:

###feature extractions:

on Mac OS: copy plugins to /Library/Audio/Plugin-ins/Vamp

###python libraries:

Simply run:

sudo python3 -m pip install keras

sudo python3 -m pip install sklearn

sudo python3 -m pip install matplotlib

Name		Name	Last commit message	Last commit date
Latest commit History 79 Commits
__pycache__		__pycache__
model_architecture		model_architecture
setup		setup
.extract_features.py.swp		.extract_features.py.swp
.gitignore		.gitignore
.parse_songs.py.swp		.parse_songs.py.swp
.split_30_seconds_mono.py.swp		.split_30_seconds_mono.py.swp
LICENSE		LICENSE
README.md		README.md
Tutorial.md		Tutorial.md
doc.pdf		doc.pdf
experimental_results.json		experimental_results.json
extract_features.py		extract_features.py
getGenreFromYoutube.sh		getGenreFromYoutube.sh
keras_gpu.sh		keras_gpu.sh
maxlen		maxlen
maxlen_adaptivespectrogram_output		maxlen_adaptivespectrogram_output
maxlen_mfcc_coefficients		maxlen_mfcc_coefficients
maxlen_spectral-contrast_peaks		maxlen_spectral-contrast_peaks
maxlen_spectral-contrast_valleys		maxlen_spectral-contrast_valleys
merged.py		merged.py
mergeed_model.png		mergeed_model.png
mfcc_model.png		mfcc_model.png
mfcc_model.py		mfcc_model.py
model.png		model.png
parse_features.py		parse_features.py
querying_genre.py		querying_genre.py
space_to_underscore.sh		space_to_underscore.sh
spectral-contrast_peaks_model.png		spectral-contrast_peaks_model.png
spectral_contrast_peaks_model.py		spectral_contrast_peaks_model.py
splitTrainTest.sh		splitTrainTest.sh
split_30_seconds.py		split_30_seconds.py

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