docs: make english README the repository's default README (#38)

* docs: make english README the repository's default README

some people might be scared off by a base README being in Chinese, so using a more universally known language like English seems to be more suited for open-source projects. i believe some people just come to the project, see the README and then they're frightened to even work on/with it

this is a change curated by the #33 issue

* docs: use MIT badge directly instead of relying on the repo link

* docs: make READMEs grab the license badge directly via repo's specified license

Author: 413x1nkp

README.md

@@ -1,111 +1,113 @@
 <div align="center">
 
 # Retrieval-based-Voice-Conversion-WebUI
-一个基于VITS的简单易用的变声框架<br><br>
+An easy-to-use voice conversion framework based on VITS.
+
+
 
 [![madewithlove](https://img.shields.io/badge/made_with-%E2%9D%A4-red?style=for-the-badge&labelColor=orange
 )](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI)
 
 ![moe](https://counter.seku.su/cmoe?name=rvc&theme=r34)
 
-[![Licence](https://img.shields.io/badge/LICENSE-MIT-green.svg?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
+[![Licence](https://img.shields.io/github/license/fumiama/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
 [![Huggingface](https://img.shields.io/badge/🤗%20-Spaces-yellow.svg?style=for-the-badge)](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
 
 [![Discord](https://img.shields.io/badge/RVC%20Developers-Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/HcsmBBGyVk)
 
-[**更新日志**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/docs/Changelog_CN.md) | [**常见问题解答**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98%E8%A7%A3%E7%AD%94) | [**AutoDL·5毛钱训练AI歌手**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/wiki/Autodl%E8%AE%AD%E7%BB%83RVC%C2%B7AI%E6%AD%8C%E6%89%8B%E6%95%99%E7%A8%8B) | [**对照实验记录**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/wiki/Autodl%E8%AE%AD%E7%BB%83RVC%C2%B7AI%E6%AD%8C%E6%89%8B%E6%95%99%E7%A8%8B](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/wiki/%E5%AF%B9%E7%85%A7%E5%AE%9E%E9%AA%8C%C2%B7%E5%AE%9E%E9%AA%8C%E8%AE%B0%E5%BD%95)) | [**在线演示**](https://modelscope.cn/studios/FlowerCry/RVCv2demo)
+[**Changelog**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/docs/Changelog_EN.md) | [**FAQ (Frequently Asked Questions)**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/wiki/FAQ-(Frequently-Asked-Questions)) 
 
-[**English**](./docs/en/README.en.md) | [**中文简体**](./README.md) | [**日本語**](./docs/jp/README.ja.md) | [**한국어**](./docs/kr/README.ko.md) ([**韓國語**](./docs/kr/README.ko.han.md)) | [**Français**](./docs/fr/README.fr.md) | [**Türkçe**](./docs/tr/README.tr.md) | [**Português**](./docs/pt/README.pt.md)
+[**English**](./README.md) | [**中文简体**](./docs/cn/README.cn.md) | [**日本語**](./docs/jp/README.ja.md) | [**한국어**](./docs/kr/README.ko.md) ([**韓國語**](./docs/kr/README.ko.han.md)) | [**Français**](./docs/fr/README.fr.md) | [**Türkçe**](./docs/tr/README.tr.md) | [**Português**](./docs/pt/README.pt.md)
 
 </div>
 
-> 底模使用接近50小时的开源高质量VCTK训练集训练，无版权方面的顾虑，请大家放心使用
+> The base model is trained using nearly 50 hours of high-quality open-source VCTK training set. Therefore, there are no copyright concerns, please feel free to use.
 
-> 请期待RVCv3的底模，参数更大，数据集更大，效果更好，基本持平的推理速度，需要训练数据量更少。
+> Please look forward to the base model of RVCv3 with larger parameters, larger dataset, better effects, basically flat inference speed, and less training data required.
 
-> 由于某些地区无法直连Hugging Face，即使设法成功访问，速度也十分缓慢，特推出模型/整合包/工具的一键下载器，欢迎试用：[RVC-Models-Downloader](https://github.com/fumiama/RVC-Models-Downloader)
+> There's a [one-click downloader](https://github.com/fumiama/RVC-Models-Downloader) for models/integration packages/tools. Welcome to try.
 
-| 训练推理界面 | 实时变声界面 |
+| Training and inference Webui | Real-time voice changing GUI |
 | :--------: | :---------: |
 | ![web](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/assets/129054828/092e5c12-0d49-4168-a590-0b0ef6a4f630) | ![realtime-gui](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/assets/129054828/730b4114-8805-44a1-ab1a-04668f3c30a6) |
 | go-web.bat | go-realtime-gui.bat |
-| 可以自由选择想要执行的操作。 | 我们已经实现端到端170ms延迟。如使用ASIO输入输出设备，已能实现端到端90ms延迟，但非常依赖硬件驱动支持。|
+| You can freely choose the action you want to perform. | We have achieved an end-to-end latency of 170ms. With the use of ASIO input and output devices, we have managed to achieve an end-to-end latency of 90ms, but it is highly dependent on hardware driver support. |
 
-## 简介
-本仓库具有以下特点
-+ 使用top1检索替换输入源特征为训练集特征来杜绝音色泄漏
-+ 即便在相对较差的显卡上也能快速训练
-+ 使用少量数据进行训练也能得到较好结果(推荐至少收集10分钟低底噪语音数据)
-+ 可以通过模型融合来改变音色(借助ckpt处理选项卡中的ckpt-merge)
-+ 简单易用的网页界面
-+ 可调用UVR5模型来快速分离人声和伴奏
-+ 使用最先进的[人声音高提取算法InterSpeech2023-RMVPE](#参考项目)根绝哑音问题，效果更好，运行更快，资源占用更少
-+ A卡I卡加速支持
+## Features:
++ Reduce tone leakage by replacing the source feature to training-set feature using top1 retrieval;
++ Easy + fast training, even on poor graphics cards;
++ Training with a small amounts of data (>=10min low noise speech recommended);
++ Model fusion to change timbres (using ckpt processing tab->ckpt merge);
++ Easy-to-use WebUI;
++ UVR5 model to quickly separate vocals and instruments;
++ High-pitch Voice Extraction Algorithm [InterSpeech2023-RMVPE](#Credits) to prevent a muted sound problem. Provides the best results (significantly) and is faster with lower resource consumption than Crepe_full;
++ AMD/Intel graphics cards acceleration supported;
++ Intel ARC graphics cards acceleration with IPEX supported.
 
-点此查看我们的[演示视频](https://www.bilibili.com/video/BV1pm4y1z7Gm/) !
+Check out our [Demo Video](https://www.bilibili.com/video/BV1pm4y1z7Gm/) here!
 
-## 环境配置
-### Python 版本限制
-> 建议使用 conda 管理 Python 环境
+## Environment Configuration
+### Python Version Limitation
+> It is recommended to use conda to manage the Python environment.
 
-> 版本限制原因参见此[bug](https://github.com/facebookresearch/fairseq/issues/5012)
+> For the reason of the version limitation, please refer to this [bug](https://github.com/facebookresearch/fairseq/issues/5012).
 
 ```bash
 python --version # 3.8 <= Python < 3.11
 ```
 
-### Linux/MacOS 一键依赖安装启动脚本
-执行项目根目录下`run.sh`即可一键配置`venv`虚拟环境、自动安装所需依赖并启动主程序。
+### Linux/MacOS One-click Dependency Installation & Startup Script
+By executing `run.sh` in the project root directory, you can configure the `venv` virtual environment, automatically install the required dependencies, and start the main program with one click.
 ```bash
 sh ./run.sh
 ```
 
-### 手动安装依赖
-1. 安装`pytorch`及其核心依赖，若已安装则跳过。参考自: https://pytorch.org/get-started/locally/
+### Manual Installation of Dependencies
+1. Install `pytorch` and its core dependencies, skip if already installed. Refer to: https://pytorch.org/get-started/locally/
 	```bash
 	pip install torch torchvision torchaudio
 	```
-2. 如果是 win 系统 + Nvidia Ampere 架构(RTX30xx)，根据 #21 的经验，需要指定 pytorch 对应的 CUDA 版本
+2. If you are using Nvidia Ampere architecture (RTX30xx) in Windows, according to the experience of #21, you need to specify the cuda version corresponding to pytorch.
 	```bash
 	pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
 	```
-3. 根据自己的显卡安装对应依赖
-- N卡
+3. Install the corresponding dependencies according to your own graphics card.
+- Nvidia GPU
 	```bash
 	pip install -r requirements/main.txt
 	```
-- A卡/I卡
+- AMD/Intel GPU
 	```bash
 	pip install -r requirements/dml.txt
 	```
-- A卡ROCM(Linux)
+- AMD ROCM (Linux)
 	```bash
 	pip install -r requirements/amd.txt
 	```
-- I卡IPEX(Linux)
+- Intel IPEX (Linux)
 	```bash
 	pip install -r requirements/ipex.txt
 	```
 
-## 其他资源准备
-### 1. assets
-> RVC需要位于`assets`文件夹下的一些模型资源进行推理和训练。
-#### 自动检查/下载资源(默认)
-> 默认情况下，RVC可在主程序启动时自动检查所需资源的完整性。
+## Preparation of Other Files
+### 1. Assets
+> RVC requires some models located in the `assets` folder for inference and training.
+#### Check/Download Automatically (Default)
+> By default, RVC can automatically check the integrity of the required resources when the main program starts.
 
-> 即使资源不完整，程序也将继续启动。
+> Even if the resources are not complete, the program will continue to start.
 
-- 如果您希望下载所有资源，请添加`--update`参数
-- 如果您希望跳过启动时的资源完整性检查，请添加`--nocheck`参数
+- If you want to download all resources, please add the `--update` parameter.
+- If you want to skip the resource integrity check at startup, please add the `--nocheck` parameter.
 
-#### 手动下载资源
-> 所有资源文件均位于[Hugging Face space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
+#### Download Manually
+> All resource files are located in [Hugging Face space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
 
-> 你可以在`tools`文件夹找到下载它们的脚本
+> You can find some scripts to download them in the `tools` folder
 
-> 你也可以使用模型/整合包/工具的一键下载器：[RVC-Models-Downloader](https://github.com/fumiama/RVC-Models-Downloader)
+> You can also use the [one-click downloader](https://github.com/fumiama/RVC-Models-Downloader) for models/integration packages/tools
 
-以下是一份清单，包括了所有RVC所需的预模型和其他文件的名称。
+Below is a list that includes the names of all pre-models and other files required by RVC.
 
 - ./assets/hubert/hubert_base.pt
 	```bash
@@ -119,90 +121,88 @@ sh ./run.sh
 	```bash
 	rvcmd assets/uvr5 # RVC-Models-Downloader command
 	```
-想使用v2版本模型的话，需要额外下载
+If you want to use the v2 version of the model, you need to download additional resources in
 
 - ./assets/pretrained_v2
 	```bash
 	rvcmd assets/v2 # RVC-Models-Downloader command
 	```
 
-### 2. 安装 ffmpeg 工具
-若已安装`ffmpeg`和`ffprobe`则可跳过此步骤。
-
-#### Ubuntu/Debian 用户
+### 2. Install ffmpeg tool
+If `ffmpeg` and `ffprobe` have already been installed, you can skip this step.
+#### Ubuntu/Debian
 ```bash
 sudo apt install ffmpeg
 ```
-#### MacOS 用户
+#### MacOS
 ```bash
 brew install ffmpeg
 ```
-#### Windows 用户
-下载后放置在根目录。
+#### Windows
+After downloading, place it in the root directory.
 ```bash
 rvcmd tools/ffmpeg # RVC-Models-Downloader command
 ```
-- 下载[ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe)
+- [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe)
 
-- 下载[ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe)
+- [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe)
 
-### 3. 下载 rmvpe 人声音高提取算法所需文件
+### 3. Download the required files for the rmvpe vocal pitch extraction algorithm
 
-如果你想使用最新的RMVPE人声音高提取算法，则你需要下载音高提取模型参数并放置于`assets/rmvpe`。
+If you want to use the latest RMVPE vocal pitch extraction algorithm, you need to download the pitch extraction model parameters and place them in `assets/rmvpe`.
 
-- 下载[rmvpe.pt](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt)
+- [rmvpe.pt](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt)
 	```bash
 	rvcmd assets/rmvpe # RVC-Models-Downloader command
 	```
 
-#### 下载 rmvpe 的 dml 环境(可选, A卡/I卡用户)
+#### Download DML environment of RMVPE (optional, for AMD/Intel GPU)
 
-- 下载[rmvpe.onnx](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.onnx)
+- [rmvpe.onnx](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.onnx)
 	```bash
 	rvcmd assets/rmvpe # RVC-Models-Downloader command
 	```
 
-### 4. AMD显卡Rocm(可选, 仅Linux)
+### 4. AMD ROCM (optional, Linux only)
 
-如果你想基于AMD的Rocm技术在Linux系统上运行RVC，请先在[这里](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html)安装所需的驱动。
+If you want to run RVC on a Linux system based on AMD's ROCM technology, please first install the required drivers [here](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html).
 
-若你使用的是Arch Linux，可以使用pacman来安装所需驱动：
+If you are using Arch Linux, you can use pacman to install the required drivers.
 ````
 pacman -S rocm-hip-sdk rocm-opencl-sdk
 ````
-对于某些型号的显卡，你可能需要额外配置如下的环境变量（如：RX6700XT）：
+For some models of graphics cards, you may need to configure the following environment variables (such as: RX6700XT).
 ````
 export ROCM_PATH=/opt/rocm
 export HSA_OVERRIDE_GFX_VERSION=10.3.0
 ````
-同时确保你的当前用户处于`render`与`video`用户组内：
+Also, make sure your current user is in the `render` and `video` user groups.
 ````
 sudo usermod -aG render $USERNAME
 sudo usermod -aG video $USERNAME
 ````
-
-## 开始使用
-### 直接启动
-使用以下指令来启动 WebUI
+## Getting Started
+### Direct Launch
+Use the following command to start the WebUI.
 ```bash
 python web.py
 ```
-### Linux/MacOS 用户
+### Linux/MacOS
 ```bash
 ./run.sh
 ```
-### 对于需要使用IPEX技术的I卡用户(仅Linux)
+### For I-card users who need to use IPEX technology (Linux only)
 ```bash
 source /opt/intel/oneapi/setvars.sh
 ./run.sh
 ```
-### 使用整合包 (Windows 用户)
-下载并解压`RVC-beta.7z`，解压后双击`go-web.bat`即可一键启动。
+### Using the Integration Package (Windows Users)
+Download and unzip `RVC-beta.7z`. After unzipping, double-click `go-web.bat` to start the program with one click.
 ```bash
 rvcmd packs/general/latest # RVC-Models-Downloader command
 ```
 
-## 参考项目
+## Credits
 + [ContentVec](https://github.com/auspicious3000/contentvec/)
 + [VITS](https://github.com/jaywalnut310/vits)
 + [HIFIGAN](https://github.com/jik876/hifi-gan)
@@ -213,5 +213,5 @@ rvcmd packs/general/latest # RVC-Models-Downloader command
 + [Vocal pitch extraction:RMVPE](https://github.com/Dream-High/RMVPE)
   + The pretrained model is trained and tested by [yxlllc](https://github.com/yxlllc/RMVPE) and [RVC-Boss](https://github.com/RVC-Boss).
 
-## 感谢所有贡献者作出的努力
+## Thanks to all contributors for their efforts
 [![contributors](https://contrib.rocks/image?repo=fumiama/Retrieval-based-Voice-Conversion-WebUI)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors)