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OOD data for LibriTTS-460 training? #187

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kmn1024 opened this issue Jan 11, 2024 · 1 comment
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OOD data for LibriTTS-460 training? #187

kmn1024 opened this issue Jan 11, 2024 · 1 comment

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@kmn1024
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kmn1024 commented Jan 11, 2024

Related to #95, if the existing OOD_data is based on LibriTTS and used during LJSpeech training, what OOD_data did you use for LibriTTS training?
Akito-UzukiP pushed a commit to Akito-UzukiP/StyleTTS2 that referenced this issue Jan 13, 2024
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Dev emo (yl4579#171)
b186499 
* SYNC CHANGE TO EMO BRANCH (yl4579#162)

* Update README.md

* 更新 bert_models.json

* fix

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* performance improve

* Feat: support auto split in webui (yl4579#158)

* Feat: support auto split in webui

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* Fix: change /voice api to post (yl4579#160)

* Fix: change /voice api to post

* Fix: support /voice api get

* Fix: Add missing torch.cuda.empty_cache() (yl4579#161)

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* sync  (yl4579#163)

* Update README.md

* 更新 bert_models.json

* fix

* Update data_utils.py

* Update infer.py

* performance improve

* Feat: support auto split in webui (yl4579#158)

* Feat: support auto split in webui

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

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* Fix: change /voice api to post (yl4579#160)

* Fix: change /voice api to post

* Fix: support /voice api get

* Fix: Add missing torch.cuda.empty_cache() (yl4579#161)

* del emo

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* Add files via upload

* Update infer.py

* add emo

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* Update default_config.yml

* Fix slice segments GPU perf (yl4579#165)

* Fix slice segments GPU perf

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update commons.py

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* Update infer.py

* Update models.py

* Update infer.py

* remove spec cache

* Update data_utils.py

* Update data_utils.py

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* Revert "Fix slice segments GPU perf (yl4579#165)" (yl4579#169)

This reverts commit 28430fc76bc628297bb59d8f8d25100dbe46ab59.

* Update train_ms.py

* Update train_ms.py

* Update data_utils.py

* Update data_utils.py

* Update train_ms.py

* Update train_ms.py

* Update train_ms.py

* Update train_ms.py

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* Switch to Japanese wwm DeBERTa (yl4579#172)

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* Fix wrong ellipsis g2p (yl4579#173)

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* Fix ellipsis g2p

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* Add files via upload

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* Feat: Support load and infer 2.0 models (yl4579#178)

* Feat: Support load and infer 2.0 models

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* 复用相同逻辑，修正静音添加错误 (yl4579#181)

* Refactor: reuse the same part of voice api.

* Fix: server_fastapi.py

* Update train_ms.py

* Update data_utils.py

* Update data_utils.py

* Update train_ms.py

* Update train_ms.py

* Update train_ms.py

* Update train_ms.py

* Update data_utils.py

* Update data_utils.py

* Add files via upload

* Update train_ms.py

* Update train_ms.py

* Update train_ms.py

* Update default_config.yml

* Update utils.py

* Update train_ms.py

* Update utils.py

* Update default_config.yml

* Update data_utils.py

* Update default_config.yml

* Update train_ms.py

* Update train_ms.py

* Update config.py

* Update utils.py

* Update train_ms.py

* Update train_ms.py

* feat: add voice mix and tone mix (yl4579#187)

* feat: add voice mix and tone mix

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yl4579 commented Mar 7, 2024

It was the same as LibriTTS-460, so the OOD data is the same as itself, although the speakers are different. This is because the dataset is already large enough so we don't need an extra OOD dataset (though it helps if you can get more).

@yl4579 yl4579 closed this as completed Mar 7, 2024
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