Medix-AI/coqui-tts
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coqui-tts
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Remove start character for phonme sequenceing

This commit is contained in:
Eren Golge 2019-04-04 10:49:09 +02:00
parent 6e8b66aa89
commit 7baaf140f9
3 changed files with 6 additions and 5 deletions
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2
.compute
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@ -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 pip3 install https://download.pytorch.org/whl/cu100/torch-1.0.1.post2-cp36-cp36m-linux_x86_64.whl
yes | apt-get install espeak yes | apt-get install espeak
python3 setup.py develop 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/ # python3 distribute.py --config_path config_cluster.json --data_path ${SHARED_DIR}/data/Blizzard/Nancy/

2
utils/synthesis.py
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@ -45,5 +45,5 @@ def synthesis(model, text, CONFIG, use_cuda, ap, truncated=False):
wav = ap.inv_spectrogram(postnet_output.T) wav = ap.inv_spectrogram(postnet_output.T)
else: else:
wav = ap.inv_mel_spectrogram(postnet_output.T) 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 return wav, alignment, decoder_output, postnet_output, stop_tokens

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