Japanese text preprocessor for Text-to-Speech application (OpenJTalk rewrite in rust language).
Project description
jpreprocess (python binding)
Japanese text preprocessor for Text-to-Speech application.
This is a python binding of jpreprocess, which is written in Rust. The rust library is published in crates.io.
JPreprocess (the base code written in Rust) is a rewrite of OpenJTalk.
Usage
Unlike pyopenjtalk, this package does not include support of marine and TTS.
Currently, this package is for text processing only.
Run text processing frontend
import jpreprocess
j = jpreprocess.jpreprocess()
njd_features = j.run_frontend("本日は晴天なり")
assert njd_features[0].get("string") == "本日"
assert njd_features[0].get("pos") == "名詞"
Extract full-context label
import jpreprocess
j = jpreprocess.jpreprocess()
fullcontext = j.extract_fullcontext("本日は晴天なり")
assert len(fullcontext) == 21
assert fullcontext[0] == r"xx^xx-sil+h=o/A:xx+xx+xx/B:xx-xx_xx/C:xx_xx+xx/D:xx+xx_xx/E:xx_xx!xx_xx-xx/F:xx_xx#xx_xx@xx_xx|xx_xx/G:5_1%0_xx_xx/H:xx_xx/I:xx-xx@xx+xx&xx-xx|xx+xx/J:2_11/K:1+2-11"
Grapheme-to-phoeneme (G2P)
import jpreprocess
j = jpreprocess.jpreprocess()
assert j.g2p("おはようございます") == "o h a y o o g o z a i m a s U"
assert j.g2p("おはようございます", kana=True) == "オハヨーゴザイマス"
Copyrights
Please see README.md.
License
BSD-3-Clause
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