Rename phoneme_cleaners

TTS/tts/utils/synthesis.py

@@ -119,7 +119,6 @@ def synthesis(
     do_trim_silence=False,
     d_vector=None,
     language_id=None,
-    language_name=None,
 ):
     """Synthesize voice for the given text using Griffin-Lim vocoder or just compute output features to be passed to
     the vocoder model.
@@ -154,9 +153,6 @@ def synthesis(
 
         language_id (int):
             Language ID passed to the language embedding layer in multi-langual model. Defaults to None.
-
-        language_name (str):
-            Language name corresponding to the language code used by the phonemizer. Defaults to None.
     """
     # GST processing
     style_mel = None

TTS/tts/utils/text/cleaners.py

@@ -100,6 +100,16 @@ def english_cleaners(text):
     return text
 
 
+def english_phoneme_cleaners(text):
+    """Pipeline for phonemes mode, including number and abbreviation expansion."""
+    text = en_normalize_numbers(text)
+    text = expand_abbreviations(text)
+    text = replace_symbols(text)
+    text = remove_aux_symbols(text)
+    text = collapse_whitespace(text)
+    return text
+
+
 def french_cleaners(text):
     """Pipeline for French text. There is no need to expand numbers, phonemizer already does that"""
     text = expand_abbreviations(text, lang="fr")
@@ -126,17 +136,6 @@ def chinese_mandarin_cleaners(text: str) -> str:
     return text
 
 
-def phoneme_cleaners(text):
-    """Pipeline for phonemes mode, including number and abbreviation expansion."""
-    text = en_normalize_numbers(text)
-    # text = convert_to_ascii(text)
-    text = expand_abbreviations(text)
-    text = replace_symbols(text)
-    text = remove_aux_symbols(text)
-    text = collapse_whitespace(text)
-    return text
-
-
 def multilingual_cleaners(text):
     """Pipeline for multilingual text"""
     text = lowercase(text)