Upload synthesizer/utils/text.py with huggingface_hub

synthesizer/utils/text.py

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+from .symbols import symbols
+from . import cleaners
+import re
+
+# Mappings from symbol to numeric ID and vice versa:
+_symbol_to_id = {s: i for i, s in enumerate(symbols)}
+_id_to_symbol = {i: s for i, s in enumerate(symbols)}
+
+# Regular expression matching text enclosed in curly braces:
+_curly_re = re.compile(r"(.*?)\{(.+?)\}(.*)")
+
+
+def text_to_sequence(text, cleaner_names):
+  """Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
+
+    The text can optionally have ARPAbet sequences enclosed in curly braces embedded
+    in it. For example, "Turn left on {HH AW1 S S T AH0 N} Street."
+
+    Args:
+      text: string to convert to a sequence
+      cleaner_names: names of the cleaner functions to run the text through
+
+    Returns:
+      List of integers corresponding to the symbols in the text
+  """
+  sequence = []
+
+  # Check for curly braces and treat their contents as ARPAbet:
+  while len(text):
+    m = _curly_re.match(text)
+    if not m:
+      sequence += _symbols_to_sequence(_clean_text(text, cleaner_names))
+      break
+    sequence += _symbols_to_sequence(_clean_text(m.group(1), cleaner_names))
+    sequence += _arpabet_to_sequence(m.group(2))
+    text = m.group(3)
+
+  # Append EOS token
+  sequence.append(_symbol_to_id["~"])
+  return sequence
+
+
+def sequence_to_text(sequence):
+  """Converts a sequence of IDs back to a string"""
+  result = ""
+  for symbol_id in sequence:
+    if symbol_id in _id_to_symbol:
+      s = _id_to_symbol[symbol_id]
+      # Enclose ARPAbet back in curly braces:
+      if len(s) > 1 and s[0] == "@":
+        s = "{%s}" % s[1:]
+      result += s
+  return result.replace("}{", " ")
+
+
+def _clean_text(text, cleaner_names):
+  for name in cleaner_names:
+    cleaner = getattr(cleaners, name)
+    if not cleaner:
+      raise Exception("Unknown cleaner: %s" % name)
+    text = cleaner(text)
+  return text
+
+
+def _symbols_to_sequence(symbols):
+  return [_symbol_to_id[s] for s in symbols if _should_keep_symbol(s)]
+
+
+def _arpabet_to_sequence(text):
+  return _symbols_to_sequence(["@" + s for s in text.split()])
+
+
+def _should_keep_symbol(s):
+  return s in _symbol_to_id and s not in ("_", "~")