multiaudio_danger_processing_functions.py

#Processing the data
dataset_min = 0.0
dataset_max = 1.0

def denormalize_dataset(input_val):
  global dataset_min, dataset_max
  return input_val * (dataset_max - dataset_min)

#Function to normalize input values
def normalize_dataset(input_val):
  global dataset_min, dataset_max
  dataset_min = np.min(input_val) 
  dataset_max = np.max(input_val) 

  diff = dataset_max - dataset_min
  if (diff != 0):
    input_val /= diff
  return input_val

def interpolateAudio(audio):
    factor = float(mic_sr)/desired_sr
    x_interp_values = []
    for i in range(len(audio)):
        x_interp_values.append(int(factor*i))
    audio_interpolated = np.interp(range(int(len(audio)*factor)), x_interp_values, audio)

    return mic_sr, audio_interpolated