Updated README

Author: Plachtaa

README-CN.md

@@ -0,0 +1,72 @@
+# Seed-VC
+*[English](README.md) | 简体中文*    
+
+一个受 SEED-TTS 启发的新型零样本声音转换方案。    
+
+目前发布的模型支持零样本语音转换和零样本歌声转换。无需任何训练，只需提供1~30秒的参考语音即可克隆声音。  
+
+要查看演示列表和与之前语音转换模型的比较，请访问我们的 [演示页面](https://plachtaa.github.io/seed-vc/)🌐  
+
+我们将继续改进模型质量并添加更多功能。
+
+## 安装 📥
+建议在 Windows 或 Linux 上使用 Python 3.10：
+```bash
+pip install -r requirements.txt
+```
+
+## 使用方法🛠️
+首次运行推理时，将自动下载最新模型的检查点。  
+
+命令行推理：
+```bash
+python inference.py --source <源语音文件路径> \
+--target <参考语音文件路径> \
+--output <输出目录> \
+--diffusion-steps 25 \ # 建议歌声转换时使用50~100
+--length-adjust 1.0 \
+--inference-cfg-rate 0.7 \
+--n-quantizers 3 \
+--f0-condition False \ # 歌声转换时设置为 True
+--auto-f0-condition False \ # 设置为 True 可自动调整源音高到目标音高，歌声转换中通常不使用
+--semi-tone-shift 0 # 歌声转换的半音移调
+```
+其中:
+- `source` 待转换为参考声音的源语音文件路径
+- `target` 声音参考的语音文件路径
+- `output` 输出目录的路径
+- `diffusion-steps` 使用的扩散步数，默认25，最佳质量建议使用50-100，最快推理使用4-10
+- `length-adjust` 长度调整系数，默认1.0，<1.0加速语音，>1.0减慢语音
+- `inference-cfg-rate` 对输出有细微影响，默认0.7
+- `n-quantizers` 用的 FAcodec 码本数量，默认3，使用的码本越少，保留的源音频韵律越少  
+- `f0-condition` 是否根据源音频的音高调整输出音高，默认 False，歌声转换时设置为 True  
+- `auto-f0-condition` 是否自动将源音高调整到目标音高水平，默认 False，歌声转换中通常不使用
+- `semi-tone-shift` 歌声转换中的半音移调，默认0  
+
+Gradio 网页界面:
+```bash
+python app.py
+```
+然后在浏览器中打开 `http://localhost:7860/` 使用网页界面。
+## TODO📝
+- [x] 发布代码
+- [x] 发布 v0.1 预训练模型： [![Hugging Face](https://img.shields.io/badge/🤗%20Hugging%20Face-SeedVC-blue)](https://huggingface.co/Plachta/Seed-VC)
+- [x] Hugging Face Space 演示： [![Hugging Face](https://img.shields.io/badge/🤗%20Hugging%20Face-Space-blue)](https://huggingface.co/spaces/Plachta/Seed-VC)
+- [x] HTML 演示页面（可能包含与其他 VC 模型的比较）： [Demo](https://plachtaa.github.io/seed-vc/)
+- [ ] 流式推理
+- [x] 歌声转换
+- [ ] 提高源音频和参考音频的抗噪性
+    - [x] 这已在 f0 条件模型中启用，但不确定效果如何...
+- [ ] 潜在的架构改进
+    - [x] 类似U-ViT 的skip connection
+    - [x] 将输入更改为 [FAcodec](https://github.com/Plachtaa/FAcodec) tokens
+- [ ] 自定义数据训练代码
+- [ ] 更多待添加
+
+## 更新日志 🗒️
+- 2024-09-18:
+    - 更新了用于歌声转换的模型
+- 2024-09-14:
+    - 更新了 v0.2 预训练模型，具有更小的尺寸和更少的扩散步骤即可达到相同质量，且增加了控制韵律保留的能力
+    - 添加了命令行推理脚本
+    - 添加了安装和使用说明

README.md

@@ -1,19 +1,21 @@
-# Seed-VC
+# Seed-VC  
+*English | [简体中文](README-CN.md)*  
+
 A new zero-shot voice conversion scheme inspired by SEED-TTS.    
 
-Currently released model supports *zero-shot voice conversion* and *zero-shot singing voice conversion*. Without any training, it is able to clone a voice given a reference speech of 1~30 seconds.  
+Currently released model supports *zero-shot voice conversion* 🔊 and *zero-shot singing voice conversion* 🎙. Without any training, it is able to clone a voice given a reference speech of 1~30 seconds.  
 
-To find a list of demos and comparisons with previous voice conversion models, please visit our [demo page](https://plachtaa.github.io/seed-vc/)  
+To find a list of demos and comparisons with previous voice conversion models, please visit our [demo page](https://plachtaa.github.io/seed-vc/)🌐  
 
 We are keeping on improving the model quality and adding more features.
 
-## Installation
+## Installation📥
 Suggested python 3.10 on Windows or Linux.
 ```bash
 pip install -r requirements.txt
 ```
 
-## Usage
+## Usage🛠️
 Checkpoints of the latest model release will be downloaded automatically when first run inference.  
 
 Command line inference:
@@ -39,13 +41,14 @@ where:
 - `n-quantizers` is the number of quantizers from FAcodec to use, default is 3, the less quantizer used, the less prosody of source audio is preserved  
 - `f0-condition` is the flag to condition the pitch of the output to the pitch of the source audio, default is False, set to True for singing voice conversion  
 - `auto-f0-condition` is the flag to auto adjust source pitch to target pitch level, default is False, normally not used in singing voice conversion
-- `semi-tone-shift` is the pitch shift in semitones for singing voice conversion, default is 0
+- `semi-tone-shift` is the pitch shift in semitones for singing voice conversion, default is 0  
+
 Gradio web interface:
 ```bash
 python app.py
 ```
 Then open the browser and go to `http://localhost:7860/` to use the web interface.
-## TODO
+## TODO📝
 - [x] Release code
 - [x] Release v0.1 pretrained model: [![Hugging Face](https://img.shields.io/badge/🤗%20Hugging%20Face-SeedVC-blue)](https://huggingface.co/Plachta/Seed-VC)
 - [x] Huggingface space demo: [![Hugging Face](https://img.shields.io/badge/🤗%20Hugging%20Face-Space-blue)](https://huggingface.co/spaces/Plachta/Seed-VC)
@@ -60,7 +63,7 @@ Then open the browser and go to `http://localhost:7860/` to use the web interfac
 - [ ] Code for training on custom data
 - [ ] More to be added
 
-## CHANGELOGS
+## CHANGELOGS🗒️
 - 2024-09-18:
     - Updated f0 conditioned model for singing voice conversion
 - 2024-09-14: