text Namespace Reference

Namespaces
	cleaners
	cmudict
	numbers
	symbols

Functions
def	text_to_sequence (text, cleaner_names)
def	sequence_to_text (sequence)
def	_clean_text (text, cleaner_names)
def	_symbols_to_sequence (symbols)
def	_arpabet_to_sequence (text)
def	_should_keep_symbol (s)

Variables
dictionary	_symbol_to_id = {s: i for i, s in enumerate(symbols)}
dictionary	_id_to_symbol = {i: s for i, s in enumerate(symbols)}
	_curly_re = re.compile(r'(.*?)\{(.+?)\}(.*)')

Detailed Description

from https://github.com/keithito/tacotron 

Function Documentation

text_to_sequence()

def text.text_to_sequence	(		text,
			cleaner_names
	)

Converts a string of text to a sequence of IDs corresponding to the symbols in the text.

  The text can optionally have ARPAbet sequences enclosed in curly braces embedded
  in it. For example, "Turn left on {HH AW1 S S T AH0 N} Street."

  Args:
    text: string to convert to a sequence
    cleaner_names: names of the cleaner functions to run the text through

  Returns:
    List of integers corresponding to the symbols in the text

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sequence_to_text()

def text.sequence_to_text

(

sequence

)

Converts a sequence of IDs back to a string

_clean_text()

def text._clean_text (   text,   cleaner_names  )

private

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_symbols_to_sequence()

def text._symbols_to_sequence (   symbols )

private

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_arpabet_to_sequence()

def text._arpabet_to_sequence (   text )

private

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_should_keep_symbol()

def text._should_keep_symbol (   s )

private

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Variable Documentation

_symbol_to_id

dictionary text._symbol_to_id = {s: i for i, s in enumerate(symbols)}

private

_id_to_symbol

dictionary text._id_to_symbol = {i: s for i, s in enumerate(symbols)}

private

_curly_re

text._curly_re = re.compile(r'(.*?)\{(.+?)\}(.*)')

private