diff --git a/nemo/collections/tts/losses/audio_codec_loss.py b/nemo/collections/tts/losses/audio_codec_loss.py
index 124256f103d99..5a36d03783717 100644
--- a/nemo/collections/tts/losses/audio_codec_loss.py
+++ b/nemo/collections/tts/losses/audio_codec_loss.py
@@ -119,6 +119,7 @@ class MultiResolutionMelLoss(Loss):
         mel_dims: Dimension of mel spectrogram to compute for each resolution. Should be same length as 'resolutions'.
         log_guard: Value to add to mel spectrogram to avoid taking log of 0.
     """
+
     def __init__(self, sample_rate: int, resolutions: List[List], mel_dims: List[int], log_guard: float = 1.0):
         super(MultiResolutionMelLoss, self).__init__()
         assert len(resolutions) == len(mel_dims)
@@ -186,6 +187,7 @@ class STFTLoss(Loss):
         log_guard: Value to add to magnitude spectrogram to avoid taking log of 0.
         sqrt_guard: Value to add to when computing absolute value of STFT to avoid NaN loss.
     """
+
     def __init__(self, resolution: List[int], log_guard: float = 1.0, sqrt_guard: float = 1e-5):
         super(STFTLoss, self).__init__()
         self.loss_fn = MaskedMAELoss()
@@ -242,6 +244,7 @@ class MultiResolutionSTFTLoss(Loss):
         log_guard: Value to add to magnitude spectrogram to avoid taking log of 0.
         sqrt_guard: Value to add to when computing absolute value of STFT to avoid NaN loss.
     """
+
     def __init__(self, resolutions: List[List], log_guard: float = 1.0, sqrt_guard: float = 1e-5):
         super(MultiResolutionSTFTLoss, self).__init__()
         self.loss_fns = torch.nn.ModuleList(