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from cStringIO import StringIO
import os

import numpy as np
import scipy.io.wavfile
import tensorflow as tf

output_path = os.path.expanduser('~/Desktop/test.tfrecord')
sample_path = os.path.expanduser('~/Desktop/test.wav')

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# mel spectrum constants.
_MEL_BREAK_FREQUENCY_HERTZ = 700.0
_MEL_HIGH_FREQUENCY_Q = 1127.0


def mel_to_hertz(mel_values):
  """Converts frequencies in `mel_values` from the mel scale to linear scale."""
  return _MEL_BREAK_FREQUENCY_HERTZ * (
      np.exp(np.array(mel_values) / _MEL_HIGH_FREQUENCY_Q) - 1.0)

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import os

import librosa
import matplotlib
import matplotlib.pyplot as plt
matplotlib.rcParams['svg.fonttype'] = 'none'
import numpy as np
from scipy.io.wavfile import read as readwav

# Constants