dschwertfeger

import argparse
import math
import os
from multiprocessing import Pool, cpu_count

import numpy as np
import pandas as pd
import tensorflow as tf
from tqdm import tqdm

dschwertfeger

import pandas as pd
import tensorflow as tf

AUTOTUNE = tf.data.experimental.AUTOTUNE


def get_dataset(df):
    file_path_ds = tf.data.Dataset.from_tensor_slices(df.file_path)
    label_ds = tf.data.Dataset.from_tensor_slices(df.label)
    return tf.data.Dataset.zip((file_path_ds, label_ds))

jesseengel

# 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)