mirror of https://github.com/coqui-ai/TTS.git
Merge pull request #44 from idiap/phoneme-cleaners
Add multilingual phoneme cleaner
This commit is contained in:
commit
bd9b21d946
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@ -3,6 +3,7 @@
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# TODO: pick the cleaner for languages dynamically
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import re
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from typing import Optional
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from anyascii import anyascii
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@ -17,35 +18,38 @@ from .french.abbreviations import abbreviations_fr
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_whitespace_re = re.compile(r"\s+")
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def expand_abbreviations(text, lang="en"):
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def expand_abbreviations(text: str, lang: str = "en") -> str:
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if lang == "en":
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_abbreviations = abbreviations_en
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elif lang == "fr":
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_abbreviations = abbreviations_fr
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else:
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msg = f"Language {lang} not supported in expand_abbreviations"
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raise ValueError(msg)
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for regex, replacement in _abbreviations:
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text = re.sub(regex, replacement, text)
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return text
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def lowercase(text):
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def lowercase(text: str) -> str:
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return text.lower()
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def collapse_whitespace(text):
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def collapse_whitespace(text: str) -> str:
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return re.sub(_whitespace_re, " ", text).strip()
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def convert_to_ascii(text):
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def convert_to_ascii(text: str) -> str:
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return anyascii(text)
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def remove_aux_symbols(text):
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def remove_aux_symbols(text: str) -> str:
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text = re.sub(r"[\<\>\(\)\[\]\"]+", "", text)
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return text
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def replace_symbols(text, lang="en"):
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"""Replace symbols based on the lenguage tag.
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def replace_symbols(text: str, lang: Optional[str] = "en") -> str:
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"""Replace symbols based on the language tag.
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Args:
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text:
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@ -77,14 +81,14 @@ def replace_symbols(text, lang="en"):
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return text
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def basic_cleaners(text):
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def basic_cleaners(text: str) -> str:
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"""Basic pipeline that lowercases and collapses whitespace without transliteration."""
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text = lowercase(text)
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text = collapse_whitespace(text)
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return text
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def transliteration_cleaners(text):
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def transliteration_cleaners(text: str) -> str:
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"""Pipeline for non-English text that transliterates to ASCII."""
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# text = convert_to_ascii(text)
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text = lowercase(text)
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@ -92,7 +96,7 @@ def transliteration_cleaners(text):
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return text
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def basic_german_cleaners(text):
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def basic_german_cleaners(text: str) -> str:
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"""Pipeline for German text"""
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text = lowercase(text)
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text = collapse_whitespace(text)
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@ -100,7 +104,7 @@ def basic_german_cleaners(text):
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# TODO: elaborate it
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def basic_turkish_cleaners(text):
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def basic_turkish_cleaners(text: str) -> str:
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"""Pipeline for Turkish text"""
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text = text.replace("I", "ı")
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text = lowercase(text)
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@ -108,7 +112,7 @@ def basic_turkish_cleaners(text):
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return text
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def english_cleaners(text):
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def english_cleaners(text: str) -> str:
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"""Pipeline for English text, including number and abbreviation expansion."""
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# text = convert_to_ascii(text)
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text = lowercase(text)
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@ -121,8 +125,12 @@ def english_cleaners(text):
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return text
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def phoneme_cleaners(text):
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"""Pipeline for phonemes mode, including number and abbreviation expansion."""
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def phoneme_cleaners(text: str) -> str:
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"""Pipeline for phonemes mode, including number and abbreviation expansion.
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NB: This cleaner converts numbers into English words, for other languages
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use multilingual_phoneme_cleaners().
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"""
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text = en_normalize_numbers(text)
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text = expand_abbreviations(text)
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text = replace_symbols(text)
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@ -131,7 +139,15 @@ def phoneme_cleaners(text):
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return text
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def french_cleaners(text):
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def multilingual_phoneme_cleaners(text: str) -> str:
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"""Pipeline for phonemes mode, including number and abbreviation expansion."""
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text = replace_symbols(text, lang=None)
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text = remove_aux_symbols(text)
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text = collapse_whitespace(text)
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return text
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def french_cleaners(text: str) -> str:
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"""Pipeline for French text. There is no need to expand numbers, phonemizer already does that"""
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text = expand_abbreviations(text, lang="fr")
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text = lowercase(text)
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@ -141,7 +157,7 @@ def french_cleaners(text):
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return text
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def portuguese_cleaners(text):
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def portuguese_cleaners(text: str) -> str:
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"""Basic pipeline for Portuguese text. There is no need to expand abbreviation and
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numbers, phonemizer already does that"""
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text = lowercase(text)
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@ -157,7 +173,7 @@ def chinese_mandarin_cleaners(text: str) -> str:
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return text
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def multilingual_cleaners(text):
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def multilingual_cleaners(text: str) -> str:
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"""Pipeline for multilingual text"""
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text = lowercase(text)
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text = replace_symbols(text, lang=None)
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@ -166,7 +182,7 @@ def multilingual_cleaners(text):
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return text
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def no_cleaners(text):
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def no_cleaners(text: str) -> str:
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# remove newline characters
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text = text.replace("\n", "")
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return text
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@ -30,7 +30,7 @@ config = AlignTTSConfig(
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run_eval=True,
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test_delay_epochs=-1,
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epochs=1000,
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text_cleaner="phoneme_cleaners",
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text_cleaner="multilingual_phoneme_cleaners",
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use_phonemes=False,
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phoneme_language="de",
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phoneme_cache_path=os.path.join(output_path, "phoneme_cache"),
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@ -40,7 +40,7 @@ config = GlowTTSConfig(
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run_eval=True,
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test_delay_epochs=-1,
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epochs=1000,
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text_cleaner="phoneme_cleaners",
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text_cleaner="multilingual_phoneme_cleaners",
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use_phonemes=True,
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phoneme_language="de",
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phoneme_cache_path=os.path.join(output_path, "phoneme_cache"),
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@ -45,7 +45,7 @@ config = SpeedySpeechConfig(
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test_delay_epochs=-1,
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epochs=1000,
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min_audio_len=11050, # need to up min_audio_len to avois speedy speech error
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text_cleaner="phoneme_cleaners",
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text_cleaner="multilingual_phoneme_cleaners",
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use_phonemes=True,
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phoneme_language="de",
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phoneme_cache_path=os.path.join(output_path, "phoneme_cache"),
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@ -49,7 +49,7 @@ config = Tacotron2Config( # This is the config that is saved for the future use
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gradual_training=[[0, 6, 64], [10000, 4, 32], [50000, 3, 32], [100000, 2, 32]],
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double_decoder_consistency=True,
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epochs=1000,
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text_cleaner="phoneme_cleaners",
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text_cleaner="multilingual_phoneme_cleaners",
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use_phonemes=True,
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phoneme_language="de",
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phoneme_cache_path=os.path.join(output_path, "phoneme_cache"),
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@ -40,7 +40,7 @@ config = VitsConfig(
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run_eval=True,
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test_delay_epochs=-1,
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epochs=1000,
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text_cleaner="phoneme_cleaners",
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text_cleaner="multilingual_phoneme_cleaners",
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use_phonemes=True,
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phoneme_language="de",
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phoneme_cache_path=os.path.join(output_path, "phoneme_cache"),
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@ -1,6 +1,6 @@
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#!/usr/bin/env python3
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from TTS.tts.utils.text.cleaners import english_cleaners, phoneme_cleaners
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from TTS.tts.utils.text.cleaners import english_cleaners, multilingual_phoneme_cleaners, phoneme_cleaners
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def test_time() -> None:
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@ -19,3 +19,8 @@ def test_currency() -> None:
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def test_expand_numbers() -> None:
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assert phoneme_cleaners("-1") == "minus one"
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assert phoneme_cleaners("1") == "one"
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def test_multilingual_phoneme_cleaners() -> None:
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assert multilingual_phoneme_cleaners("(Hello)") == "Hello"
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assert multilingual_phoneme_cleaners("1:") == "1,"
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