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voodoohop / pseudo_cqt_tensorflow.py

Last active July 17, 2021 20:26 — forked from keunwoochoi/pseudo_cqt_pytorch.py

To compute pseudo CQT (Constant-Q-transform using STFT) on Tensorflow.

	import librosa
	import tensorflow as tf
	import numpy as np

	cqt_filter_fft = librosa.constantq.__cqt_filter_fft
	EPS = 0.0001

	class PseudoCqt():
	"""A class to compute pseudo-CQT with Tensorflow.
	Written by Keunwoo Choi and adapted to tensorflow by Thomas Haferlach

voodoohop / workflow.sh

Created February 4, 2020 13:31 — forked from Honga1/workflow.sh

A git rebase workflow explained

	# To add a change to our repository
	git checkout -b "feature/feature-name" # Creates a branch called "feature/feature-name", then checks it out, locally.

	git push --set-upstream origin feature/feature-name # Publish the branch on GitHub

	# Make changes to your files

	git add FILENAME(S) # Adds your files to "Tracked".

	git status # See your "Tracked and Untracked files (green and red respectively"