ai-content-maker/.venv/Lib/site-packages/TTS/tts/utils/text/cmudict.py

152 lines
2.8 KiB
Python

# -*- coding: utf-8 -*-
import re
VALID_SYMBOLS = [
"AA",
"AA0",
"AA1",
"AA2",
"AE",
"AE0",
"AE1",
"AE2",
"AH",
"AH0",
"AH1",
"AH2",
"AO",
"AO0",
"AO1",
"AO2",
"AW",
"AW0",
"AW1",
"AW2",
"AY",
"AY0",
"AY1",
"AY2",
"B",
"CH",
"D",
"DH",
"EH",
"EH0",
"EH1",
"EH2",
"ER",
"ER0",
"ER1",
"ER2",
"EY",
"EY0",
"EY1",
"EY2",
"F",
"G",
"HH",
"IH",
"IH0",
"IH1",
"IH2",
"IY",
"IY0",
"IY1",
"IY2",
"JH",
"K",
"L",
"M",
"N",
"NG",
"OW",
"OW0",
"OW1",
"OW2",
"OY",
"OY0",
"OY1",
"OY2",
"P",
"R",
"S",
"SH",
"T",
"TH",
"UH",
"UH0",
"UH1",
"UH2",
"UW",
"UW0",
"UW1",
"UW2",
"V",
"W",
"Y",
"Z",
"ZH",
]
class CMUDict:
"""Thin wrapper around CMUDict data. http://www.speech.cs.cmu.edu/cgi-bin/cmudict"""
def __init__(self, file_or_path, keep_ambiguous=True):
if isinstance(file_or_path, str):
with open(file_or_path, encoding="latin-1") as f:
entries = _parse_cmudict(f)
else:
entries = _parse_cmudict(file_or_path)
if not keep_ambiguous:
entries = {word: pron for word, pron in entries.items() if len(pron) == 1}
self._entries = entries
def __len__(self):
return len(self._entries)
def lookup(self, word):
"""Returns list of ARPAbet pronunciations of the given word."""
return self._entries.get(word.upper())
@staticmethod
def get_arpabet(word, cmudict, punctuation_symbols):
first_symbol, last_symbol = "", ""
if word and word[0] in punctuation_symbols:
first_symbol = word[0]
word = word[1:]
if word and word[-1] in punctuation_symbols:
last_symbol = word[-1]
word = word[:-1]
arpabet = cmudict.lookup(word)
if arpabet is not None:
return first_symbol + "{%s}" % arpabet[0] + last_symbol
return first_symbol + word + last_symbol
_alt_re = re.compile(r"\([0-9]+\)")
def _parse_cmudict(file):
cmudict = {}
for line in file:
if line and (line[0] >= "A" and line[0] <= "Z" or line[0] == "'"):
parts = line.split(" ")
word = re.sub(_alt_re, "", parts[0])
pronunciation = _get_pronunciation(parts[1])
if pronunciation:
if word in cmudict:
cmudict[word].append(pronunciation)
else:
cmudict[word] = [pronunciation]
return cmudict
def _get_pronunciation(s):
parts = s.strip().split(" ")
for part in parts:
if part not in VALID_SYMBOLS:
return None
return " ".join(parts)