def map_text(base_dir: str,
merge_name: str,
text_name: str,
symbols_map_path: str,
ignore_arcs: bool = True):
logger = getLogger(__name__)
merge_dir = get_merged_dir(base_dir, merge_name, create=False)
text_dir = get_text_dir(merge_dir, text_name, create=False)
if not os.path.isdir(text_dir):
logger.error("Please add text first.")
else:
symbol_ids, updated_sentences = sents_map(
sentences=load_text_csv(text_dir),
text_symbols=load_text_symbol_converter(text_dir),
symbols_map=SymbolsMap.load(symbols_map_path),
ignore_arcs=ignore_arcs,
logger=logger,
)
print("\n" + updated_sentences.get_formatted(
symbol_id_dict=symbol_ids,
accent_id_dict=load_merged_accents_ids(merge_dir)))
_save_text_csv(text_dir, updated_sentences)
save_text_symbol_converter(text_dir, symbol_ids)
_accent_template(base_dir, merge_name, text_name)
_check_for_unknown_symbols(base_dir, merge_name, text_name)
def add_text(base_dir: str,
merge_name: str,
text_name: str,
filepath: Optional[str],
lang: Language,
text: Optional[str] = None):
assert text_name is not None and text_name != ""
logger = getLogger(__name__)
merge_dir = get_merged_dir(base_dir, merge_name, create=False)
if not os.path.isdir(merge_dir):
logger.error("Please prepare data first.")
else:
logger.info("Adding text...")
text_input = ""
if filepath is None:
assert text is not None
text_input = text
else:
text_input = read_text(filepath)
symbol_ids, data = infer_add(
text=text_input,
lang=lang,
logger=logger,
)
print("\n" + data.get_formatted(symbol_id_dict=symbol_ids,
accent_id_dict=load_merged_accents_ids(
merge_dir)))
text_dir = get_text_dir(merge_dir, text_name, create=True)
_save_text_csv(text_dir, data)
save_text_symbol_converter(text_dir, symbol_ids)
_accent_template(base_dir, merge_name, text_name)
_check_for_unknown_symbols(base_dir, merge_name, text_name)
def ipa_convert_text(base_dir: str,
merge_name: str,
text_name: str,
ignore_tones: bool = False,
ignore_arcs: bool = True,
consider_ipa_annotations: bool = False,
mode: Optional[EngToIpaMode] = None):
logger = getLogger(__name__)
merge_dir = get_merged_dir(base_dir, merge_name, create=False)
text_dir = get_text_dir(merge_dir, text_name, create=False)
if not os.path.isdir(text_dir):
logger.error("Please add text first.")
else:
logger.info("Converting text to IPA...")
symbol_ids, updated_sentences = sents_convert_to_ipa(
sentences=load_text_csv(text_dir),
text_symbols=load_text_symbol_converter(text_dir),
ignore_tones=ignore_tones,
ignore_arcs=ignore_arcs,
mode=mode,
consider_ipa_annotations=consider_ipa_annotations,
logger=logger,
)
print("\n" + updated_sentences.get_formatted(
symbol_id_dict=symbol_ids,
accent_id_dict=load_merged_accents_ids(merge_dir)))
_save_text_csv(text_dir, updated_sentences)
save_text_symbol_converter(text_dir, symbol_ids)
_accent_template(base_dir, merge_name, text_name)
_check_for_unknown_symbols(base_dir, merge_name, text_name)
def accent_apply(base_dir: str, merge_name: str, text_name: str):
logger = getLogger(__name__)
merge_dir = get_merged_dir(base_dir, merge_name, create=False)
text_dir = get_text_dir(merge_dir, text_name, create=False)
if not os.path.isdir(text_dir):
logger.error("Please add text first.")
else:
logger.info("Applying accents...")
updated_sentences = sents_accent_apply(
sentences=load_text_csv(text_dir),
accented_symbols=_load_accents_csv(text_dir),
accent_ids=load_merged_accents_ids(merge_dir),
)
print("\n" + updated_sentences.get_formatted(
symbol_id_dict=load_text_symbol_converter(text_dir),
accent_id_dict=load_merged_accents_ids(merge_dir)))
_save_text_csv(text_dir, updated_sentences)
_check_for_unknown_symbols(base_dir, merge_name, text_name)
def get_infer_sentences(base_dir: str, merge_name: str,
text_name: str) -> InferSentenceList:
merge_dir = get_merged_dir(base_dir, merge_name, create=False)
text_dir = get_text_dir(merge_dir, text_name, create=False)
if not os.path.isdir(text_dir):
print(f"The text '{text_name}' doesn't exist.")
assert False
result = InferSentenceList.from_sentences(
sentences=load_text_csv(text_dir),
accents=load_merged_accents_ids(merge_dir),
symbols=load_text_symbol_converter(text_dir))
return result
def _accent_template(base_dir: str, merge_name: str, text_name: str):
merge_dir = get_merged_dir(base_dir, merge_name, create=False)
text_dir = get_text_dir(merge_dir, text_name, create=False)
if not os.path.isdir(text_dir):
print("Please add text first.")
else:
print("Updating accent template...")
accented_symbol_list = sents_accent_template(
sentences=load_text_csv(text_dir),
text_symbols=load_text_symbol_converter(text_dir),
accent_ids=load_merged_accents_ids(merge_dir),
)
_save_accents_csv(text_dir, accented_symbol_list)
def normalize_text(base_dir: str, merge_name: str, text_name: str):
logger = getLogger(__name__)
merge_dir = get_merged_dir(base_dir, merge_name, create=False)
text_dir = get_text_dir(merge_dir, text_name, create=False)
if not os.path.isdir(text_dir):
logger.error("Please add text first.")
else:
logger.info("Normalizing text...")
symbol_ids, updated_sentences = sents_normalize(
sentences=load_text_csv(text_dir),
text_symbols=load_text_symbol_converter(text_dir),
logger=logger,
)
print("\n" + updated_sentences.get_formatted(
symbol_id_dict=symbol_ids,
accent_id_dict=load_merged_accents_ids(merge_dir)))
_save_text_csv(text_dir, updated_sentences)
save_text_symbol_converter(text_dir, symbol_ids)
_accent_template(base_dir, merge_name, text_name)
_check_for_unknown_symbols(base_dir, merge_name, text_name)