diff --git a/mel_processing.py b/mel_processing.py
index 817f0375..e3d44f5e 100644
--- a/mel_processing.py
+++ b/mel_processing.py
@@ -64,8 +64,8 @@ def spectrogram_torch(y, n_fft, sampling_rate, hop_size, win_size, center=False)
     y = y.squeeze(1)
 
     spec = torch.stft(y, n_fft, hop_length=hop_size, win_length=win_size, window=hann_window[wnsize_dtype_device],
-                      center=center, pad_mode='reflect', normalized=False, onesided=True)
-
+                      center=center, pad_mode='reflect', normalized=False, onesided=True, return_complex=True)
+    spec = torch.view_as_real(spec)
     spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
     return spec
 
@@ -75,7 +75,7 @@ def spec_to_mel_torch(spec, n_fft, num_mels, sampling_rate, fmin, fmax):
     dtype_device = str(spec.dtype) + '_' + str(spec.device)
     fmax_dtype_device = str(fmax) + '_' + dtype_device
     if fmax_dtype_device not in mel_basis:
-        mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
+        mel = librosa_mel_fn(sr=sampling_rate, n_fft=n_fft, n_mels=num_mels, fmin=fmin, fmax=fmax)
         mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to(dtype=spec.dtype, device=spec.device)
     spec = torch.matmul(mel_basis[fmax_dtype_device], spec)
     spec = spectral_normalize_torch(spec)
@@ -93,7 +93,7 @@ def mel_spectrogram_torch(y, n_fft, num_mels, sampling_rate, hop_size, win_size,
     fmax_dtype_device = str(fmax) + '_' + dtype_device
     wnsize_dtype_device = str(win_size) + '_' + dtype_device
     if fmax_dtype_device not in mel_basis:
-        mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
+        mel = librosa_mel_fn(sr=sampling_rate, n_fft=n_fft, n_mels=num_mels, fmin=fmin, fmax=fmax)
         mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to(dtype=y.dtype, device=y.device)
     if wnsize_dtype_device not in hann_window:
         hann_window[wnsize_dtype_device] = torch.hann_window(win_size).to(dtype=y.dtype, device=y.device)
@@ -102,7 +102,8 @@ def mel_spectrogram_torch(y, n_fft, num_mels, sampling_rate, hop_size, win_size,
     y = y.squeeze(1)
 
     spec = torch.stft(y, n_fft, hop_length=hop_size, win_length=win_size, window=hann_window[wnsize_dtype_device],
-                      center=center, pad_mode='reflect', normalized=False, onesided=True)
+                      center=center, pad_mode='reflect', normalized=False, onesided=True, return_complex=True)
+    spec = torch.view_as_real(spec)
 
     spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
 
diff --git a/requirements.txt b/requirements.txt
index 74c5e7ff..a7bb8890 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,5 @@
 Cython
-librosa==0.8.0
+librosa==0.10.0
 matplotlib
 numpy
 scipy