README

README.md

@@ -79,12 +79,6 @@ pip install -r requirements.txt
 
 ### Install Manually
 
-#### Install Dependences
-
-```bash
-pip install -r requirements.txt
-```
-
 #### Install FFmpeg
 
 ##### Conda Users
@@ -105,11 +99,19 @@ conda install -c conda-forge 'ffmpeg<7'
 
 Download and place [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe) and [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe) in the GPT-SoVITS root.
 
+Install [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/) (Korean TTS Only)
+
 ##### MacOS Users
 ```bash
 brew install ffmpeg
 ```
 
+#### Install Dependences
+
+```bash
+pip install -r requirements.txt
+```
+
 ### Using Docker
 
 #### docker-compose.yaml configuration
@@ -141,16 +143,22 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker
 
 Download pretrained models from [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) and place them in `GPT_SoVITS/pretrained_models`.
 
+Download G2PW models from [G2PWModel-v2-onnx.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip), unzip and rename to `G2PWModel`, and then place them in `GPT_SoVITS\text`.(Chinese TTS Only)
+
 For UVR5 (Vocals/Accompaniment Separation & Reverberation Removal, additionally), download models from [UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights) and place them in `tools/uvr5/uvr5_weights`.
 
-Users in the China region can download these two models by entering the links below and clicking "Download a copy"(Log out if you encounter errors while downloading.)
+Users in the China region can download these two models by entering the links below and clicking "Download a copy" (Log out if you encounter errors while downloading.)
 
-- [GPT-SoVITS Models](https://www.icloud.com.cn/iclouddrive/056y_Xog_HXpALuVUjscIwTtg#GPT-SoVITS_Models)
+- [GPT-SoVITS Models](https://www.icloud.com/iclouddrive/044boFMiOHHt22SNr-c-tirbA#pretrained_models)
 
 - [UVR5 Weights](https://www.icloud.com.cn/iclouddrive/0bekRKDiJXboFhbfm3lM2fVbA#UVR5_Weights)
 
+- [G2PWModel_1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip)（Download G2PW models,  unzip and rename to `G2PWModel`, and then place them in `GPT_SoVITS\text`.
+
 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`.
 
+Or Download FunASR Model from [FunASR Model](https://www.icloud.com/iclouddrive/0b52_7SQWYr75kHkPoPXgpeQA#models), unzip and replace `tools/asr/models`.(Log out if you encounter errors while downloading.)
+
 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 the China region can download this model by entering the links below
@@ -181,6 +189,72 @@ Example:
 D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
 ```
 
+## Finetune and inference
+
+ ### Open WebUI
+
+ #### Integrated Package Users
+
+ Double-click `go-webui.bat`or use `go-webui.ps`
+ if you want to switch to V1,then double-click`go-webui-v1.bat` or use `go-webui-v1.ps`
+
+ #### Others
+
+ ```bash
+ python webui.py <language(optional)>
+ ```
+
+ if you want to switch to V1,then
+
+ ```bash
+ python webui.py v1 <language(optional)>
+ ```
+Or maunally switch version in WebUI
+
+ ### Finetune
+
+ #### Path Auto-filling is now supported
+
+     1.Fill in the audio path
+
+     2.Slice the audio into small chunks
+
+     3.Denoise(optinal)
+
+     4.ASR
+
+     5.Proofreading ASR transcriptions
+
+     6.Go to the next Tab, then finetune the model
+
+ ### Open Inference WebUI
+
+ #### Integrated Package Users
+
+ Double-click `go-webui-v2.bat` or use `go-webui-v2.ps` ,then open the inference webui at  `1-GPT-SoVITS-TTS/1C-inference` 
+
+ #### Others
+
+ ```bash
+ python GPT_SoVITS/inference_webui.py <language(optional)>
+ ```
+ OR
+
+ ```bash
+ python webui.py
+ ```
+then open the inference webui at `1-GPT-SoVITS-TTS/1C-inference`
+
+ ## V2 Release Notes
+
+New Features:
+
+     1.Support Korean and Cantonese
+
+     2.An optimized text frontend
+
+     3.Pre-trained model extended from 2k hours to 5k hours
+     
 ## Todo List
 
 - [ ] **High Priority:**
@@ -206,10 +280,10 @@ Use the command line to open the WebUI for UVR5
 ```
 python tools/uvr5/webui.py "<infer_device>" <is_half> <webui_port_uvr5>
 ```
-If you can't open a browser, follow the format below for UVR processing,This is using mdxnet for audio processing
+<!-- If you can't open a browser, follow the format below for UVR processing,This is using mdxnet for audio processing
 ```
 python mdxnet.py --model --input_root --output_vocal --output_ins --agg_level --format --device --is_half_precision 
-```
+``` -->
 This is how the audio segmentation of the dataset is done using the command line
 ```
 python audio_slicer.py \
@@ -250,6 +324,9 @@ Special thanks to the following projects and contributors:
 ### Text Frontend for Inference
 - [paddlespeech zh_normalization](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization)
 - [LangSegment](https://github.com/juntaosun/LangSegment)
+- [g2pW](https://github.com/GitYCC/g2pW)
+- [pypinyin-g2pW](https://github.com/mozillazg/pypinyin-g2pW)
+- [paddlespeech g2pw](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/g2pw)
 ### WebUI Tools
 - [ultimatevocalremovergui](https://github.com/Anjok07/ultimatevocalremovergui)
 - [audio-slicer](https://github.com/openvpi/audio-slicer)

docs/cn/README.md

@@ -51,7 +51,7 @@ _注: numba==0.56.4 需要 python<3.11_
 
 ### Windows
 
-如果你是 Windows 用户（已在 win>=10 上测试），可以下载[下载整合包](https://huggingface.co/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-beta.7z?download=true)，解压后双击 go-webui-v2.bat 即可启动 GPT-SoVITS-WebUI。
+如果你是 Windows 用户（已在 win>=10 上测试），可以下载[下载整合包](https://huggingface.co/lj1995/GPT-SoVITS-windows-package/resolve/main/GPT-SoVITS-beta.7z?download=true)，解压后双击 go-webui.bat 即可启动 GPT-SoVITS-WebUI。
 
 中国地区用户可以通过点击链接并选择“下载副本”[下载整合包](https://www.icloud.com.cn/iclouddrive/030K8WjGJ9xMXhpzJVIMEWPzQ#GPT-SoVITS-beta0706fix1)。（如果下载时遇到错误，请退出登录）
 
@@ -99,7 +99,7 @@ conda install -c conda-forge 'ffmpeg<7'
 
 下载并将 [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe) 和 [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe) 放置在 GPT-SoVITS 根目录下。
 
-安装 [Visual Studio 2022](https://visualstudio.microsoft.com/zh-hans/downloads/) 环境(仅限韩语)
+安装 [Visual Studio 2022](https://visualstudio.microsoft.com/zh-hans/downloads/) 环境(仅限韩语TTS)
 
 ##### MacOS 用户
 ```bash
@@ -111,6 +111,7 @@ brew install ffmpeg
 ```bash
 pip install -r requirements.txt
 ```
+
 ### 在 Docker 中使用
 
 #### docker-compose.yaml 设置
@@ -142,7 +143,7 @@ docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-Docker
 
 从 [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) 下载预训练模型，并将它们放置在 `GPT_SoVITS\pretrained_models` 中。
 
-从 [G2PWModel-v2-onnx.zip](https://storage.googleapis.com/esun-ai/g2pW/G2PWModel-v2-onnx.zip) 下载G2PW模型,并将它们解压重命名为`G2PWModel` 后放置在 `GPT_SoVITS\text` 中。
+从 [G2PWModel-v2-onnx.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip) 下载G2PW模型,并将它们解压重命名为`G2PWModel` 后放置在 `GPT_SoVITS\text` 中。（仅限中文TTS）
 
 对于 UVR5（人声/伴奏分离和混响移除，附加），从 [UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights) 下载模型，并将它们放置在 `tools/uvr5/uvr5_weights` 中。
 
@@ -179,8 +180,8 @@ vocal_path|speaker_name|language|text
 - 'zh': 中文
 - 'ja': 日语
 - 'en': 英语
-- 'yue': 粤语
 - 'ko': 韩语
+- 'yue': 粤语
 
 示例：
 
@@ -188,7 +189,7 @@ vocal_path|speaker_name|language|text
 D:\GPT-SoVITS\xxx/xxx.wav|xxx|zh|我爱玩原神。
 ```
 
-## 使用
+## 微调与推理
 
 ### 打开WebUI
 
@@ -210,7 +211,7 @@ python webui.py v1 <language(optional)>
 ```
 或者在webUI内动态切换
 
-### 训练
+### 微调
 
 #### 现已支持自动填充路径
 
@@ -252,7 +253,7 @@ python webui.py
 
     2.更好的文本前端
 
-    3.底膜由2k小时扩展至5k小时
+    3.底模由2k小时扩展至5k小时
 
 ## 待办事项清单