diff --git a/notebooks/utils.py b/notebooks/utils.py
index 5d19e204..47d8f857 100644
--- a/notebooks/utils.py
+++ b/notebooks/utils.py
@@ -23,7 +23,7 @@ def create_speech(m, s, CONFIG, use_cuda, ap):
             torch.from_numpy(seq), volatile=True).unsqueeze(0)
 #         mel_var = torch.autograd.Variable(torch.from_numpy(mel).type(torch.FloatTensor), volatile=True)
 
-    mel_out, linear_out, alignments = m.forward(chars_var)
+    mel_out, linear_out, alignments, stop_tokens = m.forward(chars_var)
     linear_out = linear_out[0].data.cpu().numpy()
     alignment = alignments[0].cpu().data.numpy()
     spec = ap._denormalize(linear_out)
@@ -31,23 +31,29 @@ def create_speech(m, s, CONFIG, use_cuda, ap):
     wav = wav[:ap.find_endpoint(wav)]
     out = io.BytesIO()
     ap.save_wav(wav, out)
-    return wav, alignment, spec
+    return wav, alignment, spec, stop_tokens
 
 
-def visualize(alignment, spectrogram, CONFIG):
+def visualize(alignment, spectrogram, stop_tokens, CONFIG):
     label_fontsize = 16
-    plt.figure(figsize=(16, 16))
+    plt.figure(figsize=(16, 24))
 
-    plt.subplot(2, 1, 1)
+    plt.subplot(3, 1, 1)
     plt.imshow(alignment.T, aspect="auto", origin="lower", interpolation=None)
     plt.xlabel("Decoder timestamp", fontsize=label_fontsize)
     plt.ylabel("Encoder timestamp", fontsize=label_fontsize)
     plt.colorbar()
+    
+    stop_tokens = stop_tokens.squeeze().detach().to('cpu').numpy()
+    plt.subplot(3, 1, 2)
+    plt.plot(range(len(stop_tokens)), list(stop_tokens))
 
-    plt.subplot(2, 1, 2)
+    plt.subplot(3, 1, 3)
     librosa.display.specshow(spectrogram.T, sr=CONFIG.sample_rate,
                              hop_length=hop_length, x_axis="time", y_axis="linear")
     plt.xlabel("Time", fontsize=label_fontsize)
     plt.ylabel("Hz", fontsize=label_fontsize)
     plt.tight_layout()
     plt.colorbar()
+    
+   
\ No newline at end of file