From 2b532e01a667b1263a9aeb890a7c0b4377c95e4b Mon Sep 17 00:00:00 2001 From: zhaokexin01 Date: Fri, 6 Mar 2020 08:51:12 +0800 Subject: [PATCH] Update README.md --- examples/wavenet/README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/examples/wavenet/README.md b/examples/wavenet/README.md index 2064d1b..5114182 100644 --- a/examples/wavenet/README.md +++ b/examples/wavenet/README.md @@ -41,17 +41,17 @@ optional arguments: --resume RESUME checkpoint to resume from. ``` -1. `--config` is the configuration file to use. The provided configurations can be used directly. And you can change some values in the configuration file and train the model with a different config. -2. `--data` is the path of the LJSpeech dataset, the extracted folder from the downloaded archive (the folder which contains metadata.txt). -3. `--resume` is the path of the checkpoint. If it is provided, the model would load the checkpoint before training. -4. `--output` is the directory to save results, all result are saved in this directory. The structure of the output directory is shown below. +- `--config` is the configuration file to use. The provided configurations can be used directly. And you can change some values in the configuration file and train the model with a different config. +- `--data` is the path of the LJSpeech dataset, the extracted folder from the downloaded archive (the folder which contains metadata.txt). +- `--resume` is the path of the checkpoint. If it is provided, the model would load the checkpoint before training. +- `--output` is the directory to save results, all result are saved in this directory. The structure of the output directory is shown below. ```text ├── checkpoints # checkpoint └── log # tensorboard log ``` -5. `--device` is the device (gpu id) to use for training. `-1` means CPU. +- `--device` is the device (gpu id) to use for training. `-1` means CPU. Example script: @@ -84,11 +84,11 @@ optional arguments: --device DEVICE device to use. ``` -1. `--config` is the configuration file to use. You should use the same configuration with which you train you model. -2. `--data` is the path of the LJspeech dataset. A dataset is not needed for synthesis, but since the input is mel spectrogram, we need to get mel spectrogram from audio files. -3. `checkpoint` is the checkpoint to load. -4. `output_path` is the directory to save results. The output path contains the generated audio files (`*.wav`). -5. `--device` is the device (gpu id) to use for training. `-1` means CPU. +- `--config` is the configuration file to use. You should use the same configuration with which you train you model. +- `--data` is the path of the LJspeech dataset. A dataset is not needed for synthesis, but since the input is mel spectrogram, we need to get mel spectrogram from audio files. +- `checkpoint` is the checkpoint to load. +- `output_path` is the directory to save results. The output path contains the generated audio files (`*.wav`). +- `--device` is the device (gpu id) to use for training. `-1` means CPU. Example script: