Remove start character for phonme sequenceing

.compute

@@ -3,5 +3,5 @@ ls ${SHARED_DIR}/data/
 pip3 install https://download.pytorch.org/whl/cu100/torch-1.0.1.post2-cp36-cp36m-linux_x86_64.whl
 yes | apt-get install espeak 
 python3 setup.py develop
-python3 distribute.py --config_path config_cluster.json  --data_path ${SHARED_DIR}/data/Blizzard/Nancy/  --restore_path ${USER_DIR}/checkpoint_266000_4400.pth.tar
+python3 distribute.py --config_path config_cluster.json  --data_path ${SHARED_DIR}/data/Blizzard/Nancy/  --restore_path ${USER_DIR}/best_model_4467.pth.tar
 # python3 distribute.py --config_path config_cluster.json  --data_path ${SHARED_DIR}/data/Blizzard/Nancy/

utils/synthesis.py

@@ -45,5 +45,5 @@ def synthesis(model, text, CONFIG, use_cuda, ap, truncated=False):
         wav = ap.inv_spectrogram(postnet_output.T)
     else:
         wav = ap.inv_mel_spectrogram(postnet_output.T)
-    wav = wav[:ap.find_endpoint(wav)]
+    # wav = wav[:ap.find_endpoint(wav)]
     return wav, alignment, decoder_output, postnet_output, stop_tokens

utils/text/__init__.py

@@ -46,7 +46,8 @@ def text2phone(text, language):
 
 
 def phoneme_to_sequence(text, cleaner_names, language):
-    sequence = [_phonemes_to_id['^']]
+    # sequence = [_phonemes_to_id['^']]
+    sequence = []
     clean_text = _clean_text(text, cleaner_names)
     phonemes = text2phone(clean_text, language)
     if phonemes is None:
@@ -82,8 +83,8 @@ def text_to_sequence(text, cleaner_names):
       Returns:
         List of integers corresponding to the symbols in the text
     '''
-    # sequence = []
-    sequence = [_phonemes_to_id['^']]
+    sequence = []
+    # sequence = [_phonemes_to_id['^']]
     # Check for curly braces and treat their contents as ARPAbet:
     while len(text):
         m = _curly_re.match(text)