litagin02
2274087da4
Fmt only (maybe)
2024-05-25 18:15:36 +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
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
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
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
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
005706a456
Fix: colab notebook for 2.4
2024-03-12 17:26:03 +09:00
litagin02
44851a6219
Clean and fix docs
2024-03-11 17:05:42 +09:00
litagin02
c776c08235
Apply black formatter
2024-03-11 09:47:47 +09:00
tsukumi
7f02b0f1d5
Refactor: TTSModelInfo changed from TypedDict to Pydantic model
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Pydantic models are more robust and properties can be accessed by dots.
2024-03-10 19:21:22 +00:00
tsukumi
afff154da4
Add: test code for style-bert-vits2 as a library
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By executing "hatch run test:test", you can check whether the test passes in all Python 3.9 to 3.12 environments.
2024-03-10 04:18:39 +00:00
tsukumi
d2fd378b56
Refactor: rename Model / ModelHolder to TTSModel / TTSModelHolder for clarification and add comments to each method
2024-03-10 03:47:17 +00:00
tsukumi
1d320915e0
Refactor: make tts_model.py independent of style_gen.py
2024-03-09 18:10:25 +00:00
tsukumi
96d22102f3
Refactor: separate adjust_voice() function from tts_model.py
2024-03-09 17:45:56 +00:00
tsukumi
a84783a6cc
Refactor: replace utils.HParams with HyperParameters Pydantic model
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HyperParameters is largely a drop-in replacement for utils.HParams, which ensures type safety for hyper-parameters.
2024-03-08 15:52:37 +00:00
tsukumi
67ff3105c1
Refactor: moved utils.py to style_bert_vits2/models/
2024-03-08 09:40:27 +00:00
tsukumi
fe7e31e080
Refactor: moved common/tts_model.py to style_bert_vits2/
2024-03-08 09:34:44 +00:00
