From 67d301fc5bcf4de059b47ef3f514b12363c9f231 Mon Sep 17 00:00:00 2001 From: Vega Chen <> Date: Mon, 9 Aug 2021 19:46:18 +0800 Subject: [PATCH] add instruction to use pretrained models --- README-CN.md | 7 +++++-- README.md | 8 +++++--- 2 files changed, 10 insertions(+), 5 deletions(-) diff --git a/README-CN.md b/README-CN.md index f837eaa..2afabb3 100644 --- a/README-CN.md +++ b/README-CN.md @@ -25,8 +25,11 @@ * 安装 [ffmpeg](https://ffmpeg.org/download.html#get-packages)。 * 运行`pip install -r requirements.txt` 来安装剩余的必要包。 +### 2. 使用预训练好的编码器/声码器 +下载以下模型，解压替换到本代码库的根目录 +https://github.com/CorentinJ/Real-Time-Voice-Cloning/wiki/Pretrained-models -### 2. 使用 aidatatang_200zh 训练合成器 +### 3. 使用 aidatatang_200zh 训练合成器 * 下载 adatatang_200zh 数据集并解压：确保您可以访问 *train* 文件夹中的所有 .wav * 使用音频和梅尔频谱图进行预处理： `python synthesizer_preprocess_audio.py ` @@ -41,7 +44,7 @@ > 仅供参考，我的注意力是在 18k 步之后出现的，并且在 50k 步之后损失变得低于 0.4。 -### 3. 启动工具箱 +### 4. 启动工具箱 然后您可以尝试使用工具箱： `python demo_toolbox.py -d ` diff --git a/README.md b/README.md index 32d0ce7..73372d7 100644 --- a/README.md +++ b/README.md @@ -27,8 +27,10 @@ * Install [ffmpeg](https://ffmpeg.org/download.html#get-packages). * Run `pip install -r requirements.txt` to install the remaining necessary packages. - -### 2. Train synthesizer with aidatatang_200zh +### 2. reuse the pretrained encoder/vocoder +* Download the following models and extract to the root directory of this project. +https://github.com/CorentinJ/Real-Time-Voice-Cloning/wiki/Pretrained-models +### 3. Train synthesizer with aidatatang_200zh * Download aidatatang_200zh dataset and unzip: make sure you can access all .wav in *train* folder * Preprocess with the audios and the mel spectrograms: `python synthesizer_preprocess_audio.py ` @@ -44,7 +46,7 @@ ![attention_step_20500_sample_1](https://user-images.githubusercontent.com/7423248/128587252-f669f05a-f411-4811-8784-222156ea5e9d.png) ![step-135500-mel-spectrogram_sample_1](https://user-images.githubusercontent.com/7423248/128587255-4945faa0-5517-46ea-b173-928eff999330.png) -### 3. Launch the Toolbox +### 4. Launch the Toolbox You can then try the toolbox: `python demo_toolbox.py -d `