tsukumi
eede796c4e
Add: Preparation for ONNX inference support ①
2024-09-17 06:53:11 +09:00
tsukumi
7c5e839e82
Fix: Converts the given “N” phoneme to “n” when use_jp_extra=False
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Non-JP-Extra pre-trained models (based on Bert-VITS2 v2.1) do not distinguish between “ん” and consonant “n” due to an implementation miss.
2024-09-17 05:24:16 +09:00
tsukumi
c140c0612a
Fix: Old comment
2024-09-17 05:23:57 +09:00
tsukumi
cfd6bd5bb6
Improve: Models can now be loaded directly onto NVIDIA GPUs
2024-09-17 05:23:02 +09:00
tsukumi
0e71d7ef7c
Fix: Specifying the device_map option in extract_bert_feature()
2024-09-17 05:22:30 +09:00
tsukumi
80dd6dbc22
Improve: Use the device_map option in transformers to load BERT models directly to the GPU
2024-09-17 05:22:06 +09:00
tsukumi
bdf20e8911
Refactor: Use bert_models.transfer_model()
2024-09-17 05:21:03 +09:00
tsukumi
f84d2ed48b
Add: Implement bert_models.transfer_model()
2024-09-17 05:19:44 +09:00
litagin02
38adf43924
Fix: colab torchvision bug, explicit torchaudio version
2024-09-09 15:31:30 +09:00
litagin02
c1381b2c49
Refactor a little
2024-06-22 17:10:44 +09:00
litagin02
402346e493
Fix mid_result assignment
2024-06-22 15:18:57 +09:00
litagin02
9eab977138
Style
2024-06-22 14:54:47 +09:00
liruk
b645de0750
ヌルモデル変更時にloadし直す用途で、推論時にforce_reload_modelを追加
2024-06-21 09:19:46 +09:00
liruk
7f2a4a8f3e
コード整理+暫定でヌルモデル使用時は常時load()するように
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TODO:ヌルモデルの変更を検知できればそれがよさそう。
2024-06-21 09:07:09 +09:00
liruk
fb99a776ce
推論時ヌルモデルマージ(できるけどバグバグ)
2024-06-19 18:31:27 +09:00
liruk
86c2a1b087
推論時ヌルモデルマージ(まだ動かないよ)
2024-06-18 19:15:20 +09:00
litagin02
048d0b6c42
Change zero_model to null_model, docs
2024-06-16 17:24:50 +09:00
litagin02
b1970aa287
Bump ver
2024-06-14 15:45:53 +09:00
litagin02
1b656b37fa
Feat: koharune-ami
2024-05-26 17:17:32 +09:00
litagin02
2274087da4
Fmt only (maybe)
2024-05-25 18:15:36 +09:00
litagin02
8976a3ed2f
Refactor: Use PathConfig and pathlib instead of paths.yml loading
2024-05-25 10:25:22 +09:00
litagin02
053a6bf785
Fix gradio Path serialize error
2024-05-19 18:31:45 +09:00
litagin02
0a3b57528b
Fix gradio import type annotation bug (temp solution)
2024-05-15 20:39:22 +09:00
litagin02
837c4397db
Merge pull request #118 from tsukumijima/dev
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音声合成時に読み上げテキストの読みを表す音素列を指定する機能を追加 + 様々な改善
2024-05-15 07:37:46 +09:00
tsukumi
44693e7d6b
Refactor: improve regular expression performance during NLP
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Improve performance by pre-compiling regular expressions that are executed many times.
2024-05-12 17:53:30 +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
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- 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
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
87144dd321
Improve: automatically generate configs/paths.yml by copying it from configs/default_paths.yml when running initialize.py
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If configs/paths.yml itself is included in version control, differences will occur when it is changed in each environment, which is troublesome.
2024-05-06 20:56:07 +09:00
tsukumi
b230832528
Add: allow hyper-parameters and style vectors to be specified directly
2024-05-06 20:43:22 +09:00
tsukumi
aa0f9308b1
Refactor: remove dependencies on libraries not required for style_bert_vits2 as a library
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librosa: Originally not used under style_bert_vits2/.
pyannote.audio: Required only when using the "infer style vector from audio" function during inference, but it is currently almost unused.
scipy: Because it was used in only one utility function that was not needed outside of training.
2024-04-25 00:31:14 +00:00
tsukumi
28f254f449
Improve: remove Gradio dependency from style_bert_vits2 as a library
2024-04-23 05:45:11 +00:00
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
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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
76be727b2e
Bump ver
2024-03-16 18:22:35 +09:00
litagin02
1a8a7edb9c
Docs and bump default pytorch version to 2.2.1 latest
2024-03-15 21:25:24 +09:00
litagin02
e42991f7e3
Remove loading bert since necessary model is loaded automatically
2024-03-15 21:10:24 +09:00
litagin02
432edcc52b
Bump ver, rename configs_jp_extra to config_jp_extra for consistency
2024-03-15 12:34:54 +09:00
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
3141a8e341
debug logging
2024-03-13 16:26:29 +09:00
litagin02
7e3e6c55fa
docs
2024-03-13 15:46:02 +09:00
tsukumi
9e5222619f
Refactor: No preloading of BERT models to avoid unnecessary GPU VRAM consumption during training in the Web UI
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Since the BERT features of the dataset are pre-extracted by bert_gen.py, there is no need to load the BERT model at training time.
2024-03-13 12:09:11 +09:00
litagin02
c37893a76b
Add version suffix dev0
2024-03-13 11:46:56 +09:00
tsukumi
fedd019c04
Revert "Refactor: No preloading of BERT models to avoid unnecessary GPU VRAM consumption during training in the Web UI"
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This reverts commit e8a76e547b
2024-03-12 19:01:45 +00:00
tsukumi
07d246b98b
Refactor: run "hatch run style:fmt"
2024-03-12 18:27:08 +00:00
tsukumi
e8a76e547b
Refactor: No preloading of BERT models to avoid unnecessary GPU VRAM consumption during training in the Web UI
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Since the BERT features of the dataset are pre-extracted by bert_gen.py, there is no need to load the BERT model at training time.
2024-03-12 18:22:34 +00:00
tsukumi
483bc68d57
Refactor: unify invoke format of open() function
2024-03-12 18:00:51 +00:00
tsukumi
74af2c831c
Add: cache_dir and revision optional arguments to load_model() / load_tokenizer()
2024-03-12 17:45:10 +00:00
litagin02
f12f20f3da
Rollback of SAFE_STDOUT debug
2024-03-12 19:13:13 +09:00
