tsukumi
1a44c9d437
Merge branch 'dev' of github.com:litagin02/Style-Bert-VITS2
2025-03-26 20:09:40 +09:00
tsukumi
08c439e88e
Refactor: Use I/O Binding during BERT inference and always release memory after inference
2024-12-22 06:49:43 +09:00
litagin02
a6bc65271c
hatch fmt
2024-11-17 12:41:05 +09:00
tsukumi
7793e9da43
Remove: Unused import
2024-09-28 13:50:10 +09:00
tsukumi
c792bf9a0d
Improve: Make ONNX inference tests more rigorous
2024-09-23 12:27:29 +09:00
tsukumi
5ca6e184d7
Fix: ONNX inference of BERT models fails in some Windows environments
2024-09-23 11:33:17 +09:00
tsukumi
b7cd512978
Fix: During ONNX inference, the tensor of the return value of the tokenizer is now obtained in Numpy's NDArray format to eliminate the dependency on PyTorch
2024-09-23 07:40:17 +09:00
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
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
gordon0414
7de367b76f
moved tokenizer loading inside of g2p function for code integrity.
2024-05-10 11:55:38 +09:00
gordon0414
3018309199
Optimize g2p function for improved speed and efficiency
...
- Moved global variables (ARPA, _g2p, eng_dict, tokenizer) to top-level scope to avoid redundant initialization.
- Simplified conditions for words with apostrophes.
- Streamlined __post_replace_ph function by removing redundant checks.
- Optimized __refine_syllables function with direct iteration.
- Avoided re-initialization of tokenizer in __text_to_words by moving it to global scope.
- Added performance test in __main__ to validate improvements.
- Resolves issue #104 .
2024-05-09 16:12:15 +09:00
tsukumi
483bc68d57
Refactor: unify invoke format of open() function
2024-03-12 18:00:51 +00:00
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
df68771651
Refactor: split style_bert_vits2.nlp.chinese package
...
Configured so that the same public function is exported from the module with the same name for each language.
2024-03-08 09:04:40 +00:00
tsukumi
e2daa55000
Refactor: split style_bert_vits2.nlp.english package
2024-03-08 08:43:54 +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
75467936d9
Refactor: cleanup style_bert_vits2/nlp/english/__init__.py
2024-03-08 06:39:51 +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
