Files
storyteller-ml/tts/text/pipeline_components/input_parsing/parser.py
T
Brandon Thomas 76c6dbf12b Entirely reworked text handling pipeline
This breaks the text pipeline into the following pieces:

- input parsing (split known bracketed phoneme sections out first)

- normalization (fix spacing, numbers, abbreviations, etc.)

- phonetization (do CMUdict lookup or g2p prediction)

- sequencing (convert the symbolic representation to integer
  representation)

Each "pipeline" can have a unique combination of operations for each of
these pipeline steps.

This will grow over time.
2022-07-05 03:45:28 -04:00

72 lines
2.0 KiB
Python

"""
Parse raw text sequences into Arpabet and Grapheme sequences so that they can be
treated independently.
Inspired by and including code from original Tacotron2 by Keith Ito.
"""
# pyright: strict
import re
from typing import List, Union, Any
# Regular expression matching text enclosed in curly braces:
_curly_re = re.compile(r'(.*?)\{(.+?)\}(.*)')
class ArpabetSequence:
"""
Denotes an Arpabet phoneme sequence corresponding to a single word.
"""
def __init__(self, sequence: str):
self.sequence = sequence
def __eq__(self, other: Any) -> bool:
return isinstance(other, ArpabetSequence) and self.sequence == other.sequence
def __repr__(self):
return f"<ArpabetSequence: {self.sequence}>"
class GraphemeSequence:
"""
Denotes any string of non-Arpabet text, which may include multiple words,
spacing, and punctuation characters.
"""
def __init__(self, sequence: str):
self.sequence = sequence
def __eq__(self, other: Any) -> bool:
return isinstance(other, GraphemeSequence) and self.sequence == other.sequence
def __repr__(self):
return f"<GraphemeSequence: {self.sequence}>"
ParsedSequence = List[Union[ArpabetSequence, GraphemeSequence]]
def parse_grapheme_and_arpabet_sequence(input_text: str) -> ParsedSequence:
"""
Parse a string into a list of ArpabetSequence and GraphemeSequence so that each
subsequence can be treated independently.
"""
sequence : ParsedSequence = []
# Check for curly braces and treat their contents as ARPAbet:
while len(input_text):
input_text = input_text.strip()
m = _curly_re.match(input_text)
if not m:
sequence.append(GraphemeSequence(input_text))
break
before = m.group(1).strip()
bracketed = m.group(2).strip()
after = m.group(3).strip()
if before:
sequence.append(GraphemeSequence(before))
if bracketed:
sequence.append(ArpabetSequence(bracketed))
input_text = after
return sequence