From 547ffce09b5fccfeb5ee01447d50bbe3ef3d0431 Mon Sep 17 00:00:00 2001 From: lifuchen Date: Mon, 17 Feb 2020 07:53:54 +0000 Subject: [PATCH] add README of TransformerTTS --- examples/transformer_tts/README.md | 144 +++++++++++++++++- .../images/model_architecture.jpg | Bin 0 -> 330229 bytes examples/transformer_tts/synthesis.sh | 6 +- examples/transformer_tts/train_transformer.sh | 4 +- examples/transformer_tts/train_vocoder.sh | 6 +- 5 files changed, 151 insertions(+), 9 deletions(-) create mode 100644 examples/transformer_tts/images/model_architecture.jpg diff --git a/examples/transformer_tts/README.md b/examples/transformer_tts/README.md index cb3e15f..f10a1f5 100644 --- a/examples/transformer_tts/README.md +++ b/examples/transformer_tts/README.md @@ -1,4 +1,146 @@ # TransformerTTS Paddle fluid implementation of TransformerTTS, a neural TTS with Transformer. The implementation is based on [Neural Speech Synthesis with Transformer Network](https://arxiv.org/abs/1809.08895). -We implement TransformerTTS model in paddle fluid with dynamic graph, which is convenient for flexible network architectures. \ No newline at end of file +We implement TransformerTTS model in paddle fluid with dynamic graph, which is convenient for flexible network architectures. + +## Installation + +### Install paddlepaddle +This implementation requires the latest develop version of paddlepaddle. You can either download the compiled package or build paddle from source. +1. Install the compiled package, via pip, conda or docker. See [**Installation Mannuals**](https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/install/index_en.html) for more details. + +2. Build paddlepaddle from source. See [**Compile From Source Code**](https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/install/compile/fromsource_en.html) for more details. Note that if you want to enable data parallel training for multiple GPUs, you should set `-DWITH_DISTRIBUTE=ON` with cmake. + +### Install parakeet +You can choose to install via pypi or clone the repository and install manually. + +1. Install via pypi. + ```bash + pip install parakeet + ``` + +2. Install manually. + ```bash + git clone + cd Parakeet/ + pip install -e . + +### Download cmudict for nltk +You also need to download cmudict for nltk, because convert text into phonemes with `cmudict`. + +```python +import nltk +nltk.download("punkt") +nltk.download("cmudict") +``` + +If you have completed all the above installations, but still report an error at runtime: + +``` OSError: sndfile library not found ``` + +You need to install ```libsndfile``` using your distribution’s package manager. e.g. install via: + +``` sudo apt-get install libsndfile1 ``` + +## Dataset + +We experiment with the LJSpeech dataset. Download and unzip [LJSpeech](https://keithito.com/LJ-Speech-Dataset/). + +```bash +wget https://data.keithito.com/data/speech/LJSpeech-1.1.tar.bz2 +tar xjvf LJSpeech-1.1.tar.bz2 +``` +## Model Architecture + +![TransformerTTS model architecture](./images/model_architecture.jpg) +The model adapt the multi-head attention mechanism to replace the RNN structures and also the original attention mechanism in [Tacotron2](https://arxiv.org/abs/1712.05884). The model consists of two main parts, encoder and decoder. We also implemented CBHG model of tacotron as a vocoder part and converted the spectrogram into raw wave using griffin-lim algorithm. + +## Project Structure +```text +├── config # yaml configuration files +├── data.py # dataset and dataloader settings for LJSpeech +├── synthesis.py # script to synthesize waveform from text +├── train_transformer.py # script for transformer model training +├── train_vocoder.py # script for vocoder model training +``` + +## Train Transformer + +TransformerTTS model can train with ``train_transformer.py``. +```bash +python train_trasformer.py \ +--use_gpu=1 \ +--use_data_parallel=0 \ +--data_path=${DATAPATH} \ +--config_path='config/train_transformer.yaml' \ +``` +or you can run the script file directly. +```bash +sh train_transformer.sh +``` +If you want to train on multiple GPUs, you must set ``--use_data_parallel=1``, and then start training as follow: + +```bash +CUDA_VISIBLE_DEVICES=0,1,2,3 +python -m paddle.distributed.launch --selected_gpus=0,1,2,3 --log_dir ./mylog train_transformer.py \ +--use_gpu=1 \ +--use_data_parallel=0 \ +--data_path=${DATAPATH} \ +--config_path='config/train_transformer.yaml' \ +``` + +if you wish to resume from an exists model, please set ``--checkpoint_path`` and ``--transformer_step`` + +For more help on arguments: +``python train_transformer.py --help``. + +## Train Vocoder +Vocoder model can train with ``train_vocoder.py``. +```bash +python train_vocoder.py \ +--use_gpu=1 \ +--use_data_parallel=0 \ +--data_path=${DATAPATH} \ +--config_path='config/train_vocoder.yaml' \ +``` +or you can run the script file directly. +```bash +sh train_vocoder.sh +``` +If you want to train on multiple GPUs, you must set ``--use_data_parallel=1``, and then start training as follow: + +```bash +CUDA_VISIBLE_DEVICES=0,1,2,3 +python -m paddle.distributed.launch --selected_gpus=0,1,2,3 --log_dir ./mylog train_vocoder.py \ +--use_gpu=1 \ +--use_data_parallel=0 \ +--data_path=${DATAPATH} \ +--config_path='config/train_vocoder.yaml' \ +``` +if you wish to resume from an exists model, please set ``--checkpoint_path`` and ``--vocoder_step`` + +For more help on arguments: +``python train_vocoder.py --help``. + +## Synthesis +After training the transformerTTS and vocoder model, audio can be synthesized with ``synthesis.py``. +```bash +python synthesis.py \ +--max_len=50 \ +--transformer_step=160000 \ +--vocoder_step=70000 \ +--use_gpu=1 +--checkpoint_path='./checkpoint' \ +--sample_path='./sample' \ +--config_path='config/synthesis.yaml' \ +``` + +or you can run the script file directly. +```bash +sh synthesis.sh +``` + +And the audio file will be saved in ``--sample_path``. + +For more help on arguments: +``python synthesis.py --help``. diff --git a/examples/transformer_tts/images/model_architecture.jpg b/examples/transformer_tts/images/model_architecture.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9c05b1cfc169741cd06bce8fb365e08e129b8611 GIT 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