add microphone audio input

examples/dfnet/run.sh

@@ -6,8 +6,8 @@ sh run.sh --stage 2 --stop_stage 2 --system_version windows --file_folder_name f
 --noise_dir "E:/Users/tianx/HuggingDatasets/nx_noise/data/noise" \
 --speech_dir "E:/Users/tianx/HuggingDatasets/nx_noise/data/speech"
 
-sh run.sh --stage 2 --stop_stage 2 --system_version centos --file_folder_name file_dir --final_model_name dfnet-dns3 \
---noise_dir "/data/tianxing/HuggingDatasets/nx_noise/data/noise/dns3-noise" \
+sh run.sh --stage 2 --stop_stage 2 --system_version centos --file_folder_name file_dir --final_model_name dfnet-nx-dns3 \
+--noise_dir "/data/tianxing/HuggingDatasets/nx_noise/data/noise" \
 --speech_dir "/data/tianxing/HuggingDatasets/nx_noise/data/speech/dns3-speech"
 
 

toolbox/torchaudio/modules/freq_bands/erb_bands.py

@@ -122,8 +122,10 @@ class ErbBands(nn.Module):
         self.min_freq_bins_for_erb = min_freq_bins_for_erb
 
         erb_fb, erb_fb_inv = self.init_erb_fb()
-        self.erb_fb = torch.tensor(erb_fb, dtype=torch.float32, requires_grad=False)
-        self.erb_fb_inv = torch.tensor(erb_fb_inv, dtype=torch.float32, requires_grad=False)
+        erb_fb = torch.tensor(erb_fb, dtype=torch.float32, requires_grad=False)
+        erb_fb_inv = torch.tensor(erb_fb_inv, dtype=torch.float32, requires_grad=False)
+        self.erb_fb = nn.Parameter(erb_fb, requires_grad=False)
+        self.erb_fb_inv = nn.Parameter(erb_fb_inv, requires_grad=False)
 
     def init_erb_fb(self):
         erb_widths = ErbBandsNumpy.get_erb_widths(