diff --git a/TTS/tts/models/vits.py b/TTS/tts/models/vits.py
index 6770a98e..70ca4dbf 100644
--- a/TTS/tts/models/vits.py
+++ b/TTS/tts/models/vits.py
@@ -131,9 +131,8 @@ def wav_to_spec(y, n_fft, hop_length, win_length, center=False):
         pad_mode="reflect",
         normalized=False,
         onesided=True,
-        return_complex=False,
     )
-
+    spec = torch.view_as_real(spec)
     spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
     return spec
 
@@ -199,7 +198,6 @@ def wav_to_mel(y, n_fft, num_mels, sample_rate, hop_length, win_length, fmin, fm
         pad_mode="reflect",
         normalized=False,
         onesided=True,
-        return_complex=False,
     )
 
     spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
diff --git a/TTS/utils/audio/torch_transforms.py b/TTS/utils/audio/torch_transforms.py
index fd40ebb0..6eae37dc 100644
--- a/TTS/utils/audio/torch_transforms.py
+++ b/TTS/utils/audio/torch_transforms.py
@@ -129,8 +129,8 @@ class TorchSTFT(nn.Module):  # pylint: disable=abstract-method
             pad_mode="reflect",  # compatible with audio.py
             normalized=self.normalized,
             onesided=True,
-            return_complex=False,
         )
+        o = torch.view_as_real(o)
         M = o[:, :, :, 0]
         P = o[:, :, :, 1]
         S = torch.sqrt(torch.clamp(M**2 + P**2, min=1e-8))
diff --git a/TTS/vc/modules/freevc/mel_processing.py b/TTS/vc/modules/freevc/mel_processing.py
index 2dcbf214..3b421942 100644
--- a/TTS/vc/modules/freevc/mel_processing.py
+++ b/TTS/vc/modules/freevc/mel_processing.py
@@ -64,9 +64,8 @@ def spectrogram_torch(y, n_fft, sampling_rate, hop_size, win_size, center=False)
         pad_mode="reflect",
         normalized=False,
         onesided=True,
-        return_complex=False,
     )
-
+    spec = torch.view_as_real(spec)
     spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
     return spec
 
@@ -114,9 +113,8 @@ def mel_spectrogram_torch(y, n_fft, num_mels, sampling_rate, hop_size, win_size,
         pad_mode="reflect",
         normalized=False,
         onesided=True,
-        return_complex=False,
     )
-
+    spec = torch.view_as_real(spec)
     spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
 
     spec = torch.matmul(mel_basis[fmax_dtype_device], spec)