From 17aff21aee07ffab51e33476431680294226531d Mon Sep 17 00:00:00 2001 From: XXXXRT666 <157766680+XXXXRT666@users.noreply.github.com> Date: Thu, 21 Mar 2024 14:28:03 +0000 Subject: [PATCH] Update README (#827) Update README.md Update some outdated file paths and commands --- README.md | 14 +++++++++++--- docs/cn/README.md | 14 +++++++++++--- docs/ja/README.md | 8 ++++---- docs/ko/README.md | 6 +++--- 4 files changed, 29 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index c53ab76..b5daa6b 100644 --- a/README.md +++ b/README.md @@ -141,7 +141,15 @@ Users in China region can download these two models by entering the links below - [UVR5 Weights](https://www.icloud.com.cn/iclouddrive/0bekRKDiJXboFhbfm3lM2fVbA#UVR5_Weights) -For Chinese ASR (additionally), download models from [Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files), [Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files), and [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files) and place them in `tools/damo_asr/models`. +For Chinese ASR (additionally), download models from [Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files), [Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files), and [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files) and place them in `tools/asr/models`. + +For English or Japanese ASR (additionally), download models from [Faster Whisper Large V3](https://huggingface.co/Systran/faster-whisper-large-v3) and place them in `tools/asr/models`. Also, [other models](https://huggingface.co/Systran) may have the similar effect with smaller disk footprint. + +Users in China region can download this model by entering the links below + +- [Faster Whisper Large V3](https://www.icloud.com/iclouddrive/0c4pQxFs7oWyVU1iMTq2DbmLA#faster-whisper-large-v3) (clicking "Download a copy") + +- [Faster Whisper Large V3](https://hf-mirror.com/Systran/faster-whisper-large-v3) (HuggingFace mirror site) ## Dataset Format @@ -204,13 +212,13 @@ python audio_slicer.py \ ``` This is how dataset ASR processing is done using the command line(Only Chinese) ``` -python tools/damo_asr/cmd-asr.py "" +python tools/asr/funasr_asr.py -i -o ``` ASR processing is performed through Faster_Whisper(ASR marking except Chinese) (No progress bars, GPU performance may cause time delays) ``` -python ./tools/damo_asr/WhisperASR.py -i -o -f -l +python ./tools/asr/fasterwhisper_asr.py -i -o -l ``` A custom list save path is enabled diff --git a/docs/cn/README.md b/docs/cn/README.md index 6513e12..5ff8a76 100644 --- a/docs/cn/README.md +++ b/docs/cn/README.md @@ -141,7 +141,15 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker - [UVR5 Weights](https://www.icloud.com.cn/iclouddrive/0bekRKDiJXboFhbfm3lM2fVbA#UVR5_Weights) -对于中文自动语音识别（附加），从 [Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files), [Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files), 和 [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files) 下载模型，并将它们放置在 `tools/damo_asr/models` 中。 +对于中文自动语音识别（附加），从 [Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files), [Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files), 和 [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files) 下载模型，并将它们放置在 `tools/asr/models` 中。 + +对于英语与日语自动语音识别（附加),从 [Faster Whisper Large V3](https://huggingface.co/Systran/faster-whisper-large-v3) 下载模型，并将它们放置在 `tools/asr/models` 中。 此外，[其他模型](https://huggingface.co/Systran)可能具有类似效果，但占用更小的磁盘空间。 + +中国地区用户可以通过以下链接下载： +- [Faster Whisper Large V3](https://www.icloud.com/iclouddrive/0c4pQxFs7oWyVU1iMTq2DbmLA#faster-whisper-large-v3)(点击“下载副本”) + +- [Faster Whisper Large V3](https://hf-mirror.com/Systran/faster-whisper-large-v3)(Hugging Face镜像站) + ## 数据集格式 @@ -204,13 +212,13 @@ python audio_slicer.py \ ```` 这是使用命令行完成数据集ASR处理的方式（仅限中文） ```` -python tools/damo_asr/cmd-asr.py "" +python tools/asr/funasr_asr.py -i -o ```` 通过Faster_Whisper进行ASR处理（除中文之外的ASR标记） （没有进度条，GPU性能可能会导致时间延迟） ```` -python ./tools/damo_asr/WhisperASR.py -i -o -f -l +python ./tools/asr/fasterwhisper_asr.py -i -o -l ```` 启用自定义列表保存路径 ## 致谢 diff --git a/docs/ja/README.md b/docs/ja/README.md index 5d9b4de..ca2b067 100644 --- a/docs/ja/README.md +++ b/docs/ja/README.md @@ -127,7 +127,7 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) から事前訓練済みモデルをダウンロードし、`GPT_SoVITSpretrained_models` に置きます。 -中国語 ASR（追加）については、[Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files)、[Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files)、[Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files) からモデルをダウンロードし、`tools/damo_asr/models` に置いてください。 +中国語 ASR（追加）については、[Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files)、[Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files)、[Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files) からモデルをダウンロードし、`tools/asr/models` に置いてください。 UVR5 (Vocals/Accompaniment Separation & Reverberation Removal, additionally) の場合は、[UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights) からモデルをダウンロードして `tools/uvr5/uvr5_weights` に置きます。 @@ -156,7 +156,7 @@ D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin. - [ ] **優先度 高:** - [x] 日本語と英語でのローカライズ。 - - [ ] ユーザーガイド。 + - [] ユーザーガイド。 - [x] 日本語データセットと英語データセットのファインチューニングトレーニング。 - [ ] **機能:** @@ -192,13 +192,13 @@ python audio_slicer.py \ ``` コマンドラインを使用してデータセット ASR 処理を行う方法です (中国語のみ) ``` -python tools/damo_asr/cmd-asr.py "" +python tools/asr/funasr_asr.py -i -o ``` ASR処理はFaster_Whisperを通じて実行されます(中国語を除くASRマーキング) (進行状況バーは表示されません。GPU のパフォーマンスにより時間遅延が発生する可能性があります) ``` -python ./tools/damo_asr/WhisperASR.py -i -o -f -l +python ./tools/asr/fasterwhisper_asr.py -i -o -l ``` カスタムリストの保存パスが有効になっています ## クレジット diff --git a/docs/ko/README.md b/docs/ko/README.md index bb01d5d..bf94d9b 100644 --- a/docs/ko/README.md +++ b/docs/ko/README.md @@ -130,7 +130,7 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS)에서 사전 훈련된 모델을 다운로드하고 `GPT_SoVITS\pretrained_models`에 넣습니다. -중국어 자동 음성 인식(ASR), 음성 반주 분리 및 음성 제거를 위해 [Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files), [Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files) 및 [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files)을 다운로드하고 `tools/damo_asr/models`에 넣습니다. +중국어 자동 음성 인식(ASR), 음성 반주 분리 및 음성 제거를 위해 [Damo ASR Model](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/files), [Damo VAD Model](https://modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch/files) 및 [Damo Punc Model](https://modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/files)을 다운로드하고 `tools/asr/models`에 넣습니다. UVR5(음성/반주 분리 및 잔향 제거)를 위해 [UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights)에서 모델을 다운로드하고 `tools/uvr5/uvr5_weights`에 넣습니다. @@ -196,13 +196,13 @@ python audio_slicer.py \ ``` 명령줄을 사용하여 데이터 세트 ASR 처리를 수행하는 방법입니다(중국어만 해당). ``` -python tools/damo_asr/cmd-asr.py "" +python tools/asr/funasr_asr.py -i -o ``` ASR 처리는 Faster_Whisper(중국어를 제외한 ASR 마킹)를 통해 수행됩니다. (진행률 표시줄 없음, GPU 성능으로 인해 시간 지연이 발생할 수 있음) ``` -python ./tools/damo_asr/WhisperASR.py -i -o -f -l +python ./tools/asr/fasterwhisper_asr.py -i -o -l ``` 사용자 정의 목록 저장 경로가 활성화되었습니다. ## 감사의 말