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

141 lines
4.3 KiB
Python

import abc
from typing import List, Tuple
from TTS.tts.utils.text.punctuation import Punctuation
class BasePhonemizer(abc.ABC):
"""Base phonemizer class
Phonemization follows the following steps:
1. Preprocessing:
- remove empty lines
- remove punctuation
- keep track of punctuation marks
2. Phonemization:
- convert text to phonemes
3. Postprocessing:
- join phonemes
- restore punctuation marks
Args:
language (str):
Language used by the phonemizer.
punctuations (List[str]):
List of punctuation marks to be preserved.
keep_puncs (bool):
Whether to preserve punctuation marks or not.
"""
def __init__(self, language, punctuations=Punctuation.default_puncs(), keep_puncs=False):
# ensure the backend is installed on the system
if not self.is_available():
raise RuntimeError("{} not installed on your system".format(self.name())) # pragma: nocover
# ensure the backend support the requested language
self._language = self._init_language(language)
# setup punctuation processing
self._keep_puncs = keep_puncs
self._punctuator = Punctuation(punctuations)
def _init_language(self, language):
"""Language initialization
This method may be overloaded in child classes (see Segments backend)
"""
if not self.is_supported_language(language):
raise RuntimeError(f'language "{language}" is not supported by the ' f"{self.name()} backend")
return language
@property
def language(self):
"""The language code configured to be used for phonemization"""
return self._language
@staticmethod
@abc.abstractmethod
def name():
"""The name of the backend"""
...
@classmethod
@abc.abstractmethod
def is_available(cls):
"""Returns True if the backend is installed, False otherwise"""
...
@classmethod
@abc.abstractmethod
def version(cls):
"""Return the backend version as a tuple (major, minor, patch)"""
...
@staticmethod
@abc.abstractmethod
def supported_languages():
"""Return a dict of language codes -> name supported by the backend"""
...
def is_supported_language(self, language):
"""Returns True if `language` is supported by the backend"""
return language in self.supported_languages()
@abc.abstractmethod
def _phonemize(self, text, separator):
"""The main phonemization method"""
def _phonemize_preprocess(self, text) -> Tuple[List[str], List]:
"""Preprocess the text before phonemization
1. remove spaces
2. remove punctuation
Override this if you need a different behaviour
"""
text = text.strip()
if self._keep_puncs:
# a tuple (text, punctuation marks)
return self._punctuator.strip_to_restore(text)
return [self._punctuator.strip(text)], []
def _phonemize_postprocess(self, phonemized, punctuations) -> str:
"""Postprocess the raw phonemized output
Override this if you need a different behaviour
"""
if self._keep_puncs:
return self._punctuator.restore(phonemized, punctuations)[0]
return phonemized[0]
def phonemize(self, text: str, separator="|", language: str = None) -> str: # pylint: disable=unused-argument
"""Returns the `text` phonemized for the given language
Args:
text (str):
Text to be phonemized.
separator (str):
string separator used between phonemes. Default to '_'.
Returns:
(str): Phonemized text
"""
text, punctuations = self._phonemize_preprocess(text)
phonemized = []
for t in text:
p = self._phonemize(t, separator)
phonemized.append(p)
phonemized = self._phonemize_postprocess(phonemized, punctuations)
return phonemized
def print_logs(self, level: int = 0):
indent = "\t" * level
print(f"{indent}| > phoneme language: {self.language}")
print(f"{indent}| > phoneme backend: {self.name()}")