Delete text.py

text.py

@@ -1,92 +0,0 @@
-# """ from https://github.com/keithito/tacotron """
-
-# """
-# Cleaners are transformations that run over the input text at both training and eval time.
-
-# Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners"
-# hyperparameter. Some cleaners are English-specific. You'll typically want to use:
-#   1. "english_cleaners" for English text
-#   2. "transliteration_cleaners" for non-English text that can be transliterated to ASCII using
-#      the Unidecode library (https://pypi.python.org/pypi/Unidecode)
-#   3. "basic_cleaners" if you do not want to transliterate (in this case, you should also update
-#      the symbols in symbols.py to match your data).
-# """
-
-# import re
-# from mynumbers import normalize_numbers
-# from unidecode import unidecode
-
-# # Regular expression matching whitespace:
-# _whitespace_re = re.compile(r"\s+")
-
-# # List of (regular expression, replacement) pairs for abbreviations:
-# _abbreviations = [
-#     (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
-#     for x in [
-#         ("mrs", "misess"),
-#         ("mr", "mister"),
-#         ("dr", "doctor"),
-#         ("st", "saint"),
-#         ("co", "company"),
-#         ("jr", "junior"),
-#         ("maj", "major"),
-#         ("gen", "general"),
-#         ("drs", "doctors"),
-#         ("rev", "reverend"),
-#         ("lt", "lieutenant"),
-#         ("hon", "honorable"),
-#         ("sgt", "sergeant"),
-#         ("capt", "captain"),
-#         ("esq", "esquire"),
-#         ("ltd", "limited"),
-#         ("col", "colonel"),
-#         ("ft", "fort"),
-#     ]
-# ]
-
-
-# def expand_abbreviations(text):
-#     for regex, replacement in _abbreviations:
-#         text = re.sub(regex, replacement, text)
-#     return text
-
-
-# def expand_numbers(text):
-#     return normalize_numbers(text)
-
-
-# def lowercase(text):
-#     return text.lower()
-
-
-# def collapse_whitespace(text):
-#     return re.sub(_whitespace_re, " ", text)
-
-
-# def convert_to_ascii(text):
-#     return unidecode(text)
-
-
-# def basic_cleaners(text):
-#     """Basic pipeline that lowercases and collapses whitespace without transliteration."""
-#     text = lowercase(text)
-#     text = collapse_whitespace(text)
-#     return text
-
-
-# def transliteration_cleaners(text):
-#     """Pipeline for non-English text that transliterates to ASCII."""
-#     text = convert_to_ascii(text)
-#     text = lowercase(text)
-#     text = collapse_whitespace(text)
-#     return text
-
-
-# def english_cleaners(text):
-#     """Pipeline for English text, including number and abbreviation expansion."""
-#     text = convert_to_ascii(text)
-#     text = lowercase(text)
-#     text = expand_numbers(text)
-#     text = expand_abbreviations(text)
-#     text = collapse_whitespace(text)
-#     return text