Fix linting issues

TTS/bin/extract_tts_spectrograms.py

@@ -299,4 +299,5 @@ if __name__ == "__main__":
     args = parser.parse_args()
 
     c = load_config(args.config_path)
+    c.audio["do_trim_silence"] = False  # IMPORTANT!!!!!!!!!!!!!!! disable to align mel
     main(args)

TTS/tts/utils/synthesis.py

@@ -25,7 +25,7 @@ def text_to_seqvec(text, CONFIG):
                 CONFIG.enable_eos_bos_chars,
                 tp=CONFIG.characters,
                 add_blank=CONFIG.add_blank,
-                use_espeak_phonemes=CONFIG.use_espeak_phonemes
+                use_espeak_phonemes=CONFIG.use_espeak_phonemes,
             ),
             dtype=np.int32,
         )

TTS/tts/utils/text/__init__.py

@@ -54,7 +54,7 @@ def text2phone(text, language, use_espeak_phonemes=False):
 
     if gruut.is_language_supported(language):
         # Use gruut for phonemization
-        phonemizer_args={
+        phonemizer_args = {
             "remove_stress": True,
             "ipa_minor_breaks": False,  # don't replace commas/semi-colons with IPA |
             "ipa_major_breaks": False,  # don't replace periods with IPA ‖
@@ -104,7 +104,9 @@ def pad_with_eos_bos(phoneme_sequence, tp=None):
     return [_phonemes_to_id[_bos]] + list(phoneme_sequence) + [_phonemes_to_id[_eos]]
 
 
-def phoneme_to_sequence(text, cleaner_names, language, enable_eos_bos=False, tp=None, add_blank=False, use_espeak_phonemes=False):
+def phoneme_to_sequence(
+    text, cleaner_names, language, enable_eos_bos=False, tp=None, add_blank=False, use_espeak_phonemes=False
+):
     # pylint: disable=global-statement
     global _phonemes_to_id, _phonemes
     if tp:

tests/test_text_processing.py

@@ -26,6 +26,7 @@ class TextProcessingTextCase(unittest.TestCase):
         self._test_phoneme_to_sequence(add_blank=True)
 
     def _test_phoneme_to_sequence(self, add_blank):
+        """Verify en-us sentence phonemes"""
         text_cleaner = ["phoneme_cleaners"]
         sequence = phoneme_to_sequence(EXAMPLE_TEXT, text_cleaner, LANG, add_blank=add_blank, use_espeak_phonemes=True)
         text_hat = sequence_to_phoneme(sequence)
@@ -92,7 +93,7 @@ class TextProcessingTextCase(unittest.TestCase):
         self.assertEqual(text_hat, gt)
 
     def test_text2phone(self):
-        text = "Recent research at Harvard has shown meditating for as little as 8 weeks can actually increase, the grey matter in the parts of the brain responsible for emotional regulation and learning!"
+        """Verify phones directly (with |)"""
         ph = text2phone(EXAMPLE_TEXT, LANG)
         self.assertEqual(ph, EXPECTED_PHONEMES)