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import librosa
from librosa.display import specshow
import matplotlib
from matplotlib import pyplot as plt
import numpy as np
import os
import scipy.signal

%matplotlib inline

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from mirdata import orchset
import os

def print_duration(mirdata_track):
    """This function measures the duration of a mirdata
    Track by converting to JAMS and reading the file_metadata.
    It runs only on mirdata master and returns an AssertionError
    in mirdata v0.2-beta"""
    jam = mirdata_track.to_jams()
    assert jam.validate()

lostanlen

import librosa
from librosa import *
from librosa.core.spectrum import __overlap_add
from librosa.filters import get_window, window_sumsquare
import numpy as np
from numba import jit

def istft(stft_matrix, hop_length=None, win_length=None, window='hann',
          center=True, dtype=np.float32, length=None):

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import librosa
import numpy as np

y, sr = librosa.load(librosa.util.example_audio_file())
y = y[:sr] * (2**31)
S = librosa.feature.melspectrogram(y, sr=sr).astype('float32')
G = librosa.pcen(S, sr=sr, power=1, bias=0).astype('float32')

powers = np.logspace(-12, 0, 13)
biases = [1.0, 2.0, 5.0, 10.0]

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from __future__ import print_function

import jams
import librosa
import muda
import numpy as np
import soundfile as sf

print("jams version: {:s}".format(jams.__version__))
print("librosa version: {:s}".format(librosa.__version__))

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% Add scattering library to path
addpath(genpath('~/scattering.m'));

% Parameters for vibrato signal
N = 8192;
sample_rate = 4096;
carrier_frequency = 1024;
modulation_frequency = 4;
bandwidth = 16;