diff --git a/README.md b/README.md index 170b4eb..73b7878 100644 --- a/README.md +++ b/README.md @@ -28,11 +28,11 @@ * Run `pip install -r requirements.txt` to install the remaining necessary packages. ### 2. Reuse the pretrained encoder/vocoder -* Download the following models and extract to the root directory of this project. Don't use the synthesizer +* Download the following models and extract the encoder and vocoder models to the according directory of this project. Don't use the synthesizer https://github.com/CorentinJ/Real-Time-Voice-Cloning/wiki/Pretrained-models > Note that we need to specify the newly trained synthesizer model, since the original model is incompatible with the Chinese sympols. It means the demo_cli is not working at this moment. -### 3. Train synthesizer with aidatatang_200zh -* Download aidatatang_200zh dataset and unzip: make sure you can access all .wav in *train* folder +### 3. Train synthesizer with your dataset +* Download aidatatang_200zh or SLR68 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 ` Allow parameter `--dataset {dataset}` to support adatatang_200zh, SLR68 @@ -46,7 +46,8 @@ Allow parameter `--dataset {dataset}` to support adatatang_200zh, SLR68 > FYI, my attention came after 18k steps and loss became lower than 0.4 after 50k steps. ![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) - +> A link to my early trained model: [Baidu Yun](https://pan.baidu.com/s/10t3XycWiNIg5dN5E_bMORQ) +Code：aid4 ### 4. Launch the Toolbox You can then try the toolbox: @@ -57,5 +58,5 @@ or ## TODO - [x] Add demo video - [X] Add support for more dataset -- [ ] Upload pretrained model +- [X] Upload pretrained model - 🙏 Welcome to add more