def Envelope_distance()

in evaluate.py [0:0]

• 9 lines of code
• 1 McCabe index (conditional complexity)

def Envelope_distance(predicted_binaural, gt_binaural):
    #channel1
    pred_env_channel1 = np.abs(hilbert(predicted_binaural[0,:]))
    gt_env_channel1 = np.abs(hilbert(gt_binaural[0,:]))
    channel1_distance = np.sqrt(np.mean((gt_env_channel1 - pred_env_channel1)**2))

    #channel2
    pred_env_channel2 = np.abs(hilbert(predicted_binaural[1,:]))
    gt_env_channel2 = np.abs(hilbert(gt_binaural[1,:]))
    channel2_distance = np.sqrt(np.mean((gt_env_channel2 - pred_env_channel2)**2))

    #sum the distance between two channels
    envelope_distance = channel1_distance + channel2_distance
    return float(envelope_distance)