tsukumi
dcca37b9a8
Add: Support for speech synthesis in English and Chinese for ONNX inference in Non-JP-Extra models
2024-09-23 07:14:44 +09:00
tsukumi
5e2c83c6c7
Improve: Support ONNX inference, add ONNX conversion script
2024-09-17 16:55:03 +09:00
tsukumi
9de6e04ad7
Add: Preparation for ONNX inference support ④
2024-09-17 13:25:17 +09:00
tsukumi
b9fdeb4492
Add: Preparation for ONNX inference support ②
2024-09-17 09:02:14 +09:00
tsukumi
c140c0612a
Fix: Old comment
2024-09-17 05:23:57 +09:00
tsukumi
0e71d7ef7c
Fix: Specifying the device_map option in extract_bert_feature()
2024-09-17 05:22:30 +09:00
tsukumi
bdf20e8911
Refactor: Use bert_models.transfer_model()
2024-09-17 05:21:03 +09:00
litagin02
2274087da4
Fmt only (maybe)
2024-05-25 18:15:36 +09:00
tsukumi
44693e7d6b
Refactor: improve regular expression performance during NLP
...
Improve performance by pre-compiling regular expressions that are executed many times.
2024-05-12 17:53:30 +09:00
tsukumi
2d6baa3928
Fix: changed the substitute phoneme from「ん」to 「'」 when the pronunciation can't be obtained
2024-05-06 22:17:34 +09:00
tsukumi
9d15d5763d
Refactor: run "hatch run style:fmt"
2024-04-19 04:17:27 +00:00
tsukumi
797c354b1b
Add: the ability to specify a phoneme sequence representing the reading of the text to be read during speech synthesis
...
With this feature, it is possible to specify individual readings for homonyms such as "明日 (ashita/asu)" while maintaining the Kanji representation of the read text.
2024-04-19 04:09:21 +00:00
litagin02
3d8b60c03c
Refactor
2024-03-15 12:27:46 +09:00
litagin02
73b01f7172
Add another wave dash for long symbol
2024-03-14 23:31:16 +09:00
litagin02
dada0af2b6
Format import using isort --profile black --gitignore --lai 2 .
2024-03-11 12:37:51 +09:00
litagin02
c776c08235
Apply black formatter
2024-03-11 09:47:47 +09:00
tsukumi
9c233630ef
Refactor: don't keep models in bert_feature module for each language
...
BERT models and tokenizers are already stored and managed in the bert_models module and should not be stored here.
In addition, since there may be situations where the user would like to use cpu instead of mps for inference when using it as a library, the automatic switching process to mps was removed.
2024-03-10 14:18:57 +00:00
tsukumi
b7d7c78203
Refactor: when pyopenjtalk_worker is called without initialization, continue processing without a worker
...
When using style-bert-vits2 as a library, the requirement to be able to launch it in multiple processes may not be necessary. Also, if the library is embedded and exe-ed using PyInstaller or similar, it is difficult to make pyopenjtalk_worker run in a separate process.
Therefore, we changed it so that the worker is used only when it is explicitly initialized.
2024-03-10 03:04:27 +00:00
tsukumi
0a74fe521b
Merge branch 'dev' of github.com:litagin02/Style-Bert-VITS2 into dev
2024-03-09 18:12:56 +00:00
tsukumi
c594f7ea7a
Refactor: change execution location of pyopenjtalk.initialize()
...
Considering library design, this function with many side effects should not be executed in a library.
2024-03-09 00:26:51 +00:00
tsukumi
717ba7925f
Fix: app.py cannot be closed with Ctrl+C
2024-03-08 22:27:21 +00:00
tsukumi
d22a11ebb2
Fix: a bug that prevented speech synthesis in app.py
2024-03-08 22:09:47 +00:00
tsukumi
30ea08d6ea
Fix: forgot to write pyopenjtalk.initialize()
2024-03-08 18:22:40 +00:00
tsukumi
b9e486e72a
Fix: extend timeout for style_bert_vits2.nlp.japanese.pyopenjtalk_worker.worker_client
...
ref: https://github.com/litagin02/Style-Bert-VITS2/pull/91
2024-03-08 16:44:56 +00:00
tsukumi
6b19eac61e
Merge branch 'dev' of github.com:litagin02/Style-Bert-VITS2 into dev
2024-03-08 16:03:06 +00:00
tsukumi
766699e812
Fix: pyopenjtalk_worker not working
2024-03-08 09:21:09 +00:00
tsukumi
a672aeefd9
Fix: maintain compatibility with Python 3.9
2024-03-08 08:45:56 +00:00
tsukumi
5de4884075
Fix: import error
...
pyopenjtalk_worker.initialize() has the side effect of starting another process and should not be executed automatically on import.
2024-03-08 07:31:33 +00:00
tsukumi
fac4f9a8ab
Refactor: rename text_processing to nlp
...
"text_processing" is clearer, but the import statement is longer.
"nlp" is shorter and makes it clear that it is natural language processing.
2024-03-08 06:20:44 +00:00
