TTS/tests/test_text_processing.py

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import unittest
import torch as T
from TTS.utils.text import *
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def test_phoneme_to_sequence():
text = "Recent research at Harvard has shown meditating for as little as 8 weeks can actually increase, the grey matter in the parts of the brain responsible for emotional regulation and learning!"
text_cleaner = ["phoneme_cleaners"]
lang = "en-us"
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
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gt = "ɹiːsənt ɹɪːtʃ æt hɑːɹvɚd hɐz ʃoʊn mɛdᵻteɪɾɪŋ fɔːɹ æz lɪɾəl æz eɪt wiːks kæn æktʃuːəli ɪnkɹiːs, ðə ɡɹeɪ mæɾɚɹ ɪnðə pɑːɹts ʌvðə bɹeɪn ɹɪspɑːnsəbəl fɔːɹ ɪmoʊʃənəl ɹɛɡjuːleɪʃən ænd lɜːnɪŋ!"
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assert text_hat == gt
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# multiple punctuations
text = "Be a voice, not an! echo?"
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
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gt = "biː ɐ vɔɪs, nɑːt ɐn! ɛkoʊ?"
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print(text_hat)
print(len(sequence))
assert text_hat == gt
# not ending with punctuation
text = "Be a voice, not an! echo"
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
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gt = "biː ɐ vɔɪs, nɑːt ɐn! ɛkoʊ"
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print(text_hat)
print(len(sequence))
assert text_hat == gt
# original
text = "Be a voice, not an echo!"
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
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gt = "biː ɐ vɔɪs, nɑːt ɐn ɛkoʊ!"
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print(text_hat)
print(len(sequence))
assert text_hat == gt
# extra space after the sentence
text = "Be a voice, not an! echo. "
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
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gt = "biː ɐ vɔɪs, nɑːt ɐn! ɛkoʊ."
print(text_hat)
print(len(sequence))
assert text_hat == gt
# extra space after the sentence
text = "Be a voice, not an! echo. "
sequence = phoneme_to_sequence(text, text_cleaner, lang, True)
text_hat = sequence_to_phoneme(sequence)
gt = "^biː ɐ vɔɪs, nɑːt ɐn! ɛkoʊ.~"
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print(text_hat)
print(len(sequence))
assert text_hat == gt
# padding char
text = "_Be a _voice, not an! echo_"
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
gt = "biː ɐ vɔɪs, nɑːt ɐn! ɛkoʊ"
print(text_hat)
print(len(sequence))
assert text_hat == gt
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def test_text2phone():
text = "Recent research at Harvard has shown meditating for as little as 8 weeks can actually increase, the grey matter in the parts of the brain responsible for emotional regulation and learning!"
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gt = "ɹ|iː|s|ə|n|t| |ɹ|ɪ|s|ɜː|tʃ| |æ|t| |h|ɑːɹ|v|ɚ|d| |h|ɐ|z| |ʃ|oʊ|n| |m|ɛ|d|ᵻ|t|eɪ|ɾ|ɪ|ŋ| |f|ɔː|ɹ| |æ|z| |l|ɪ|ɾ|əl| |æ|z| |eɪ|t| |w|iː|k|s| |k|æ|n| |æ|k|tʃ|uː|əl|i| |ɪ|n|k|ɹ|iː|s|,| |ð|ə| |ɡ|ɹ|eɪ| |m|æ|ɾ|ɚ|ɹ| |ɪ|n|ð|ə| |p|ɑːɹ|t|s| |ʌ|v|ð|ə| |b|ɹ|eɪ|n| |ɹ|ɪ|s|p|ɑː|n|s|ə|b|əl| |f|ɔː|ɹ| |ɪ|m|oʊ|ʃ|ə|n|əl| |ɹ|ɛ|ɡ|j|uː|l|eɪ|ʃ|ə|n| |æ|n|d| |l|ɜː|n|ɪ|ŋ|!"
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lang = "en-us"
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ph = text2phone(text, lang)
assert gt == ph, f"\n{phonemes} \n vs \n{gt}"