README.md

---
license: mit
---

# Pretrained Model of Amphion FastSpeech 2

We provide the pre-trained checkpoint of [FastSpeech 2](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/FastSpeech2) trained on LJSpeech, which consists of 13,100 short audio clips of a single speaker and has a total length of approximately 24 hours.



## Quick Start

To utilize the pre-trained models, just run the following commands:

### Step1: Download the checkpoint
```bash
git lfs install
git clone https://huggingface.co/amphion/fastspeech2_ljspeech
```

### Step2: Clone the Amphion's Source Code of GitHub
```bash
git clone https://github.com/open-mmlab/Amphion.git
```

### Step3: Specify the checkpoint's path
Use the soft link to specify the downloaded checkpoint in the first step:

```bash
cd Amphion
mkdir -p ckpts/tts
ln -s  ../../../fastspeech2_ljspeech  ckpts/tts/
```

### Step4: Inference

You can follow the inference part of [this recipe](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/FastSpeech2#4-inference) to generate speech from text. For example, if you want to synthesize a clip of speech with the text of "This is a clip of generated speech with the given text from a TTS model.", just, run:

```bash

sh egs/tts/FastSpeech2/run.sh --stage 3 \
    --config ckpts/tts/fastspeech2_ljspeech/args.json \
    --infer_expt_dir ckpts/tts/fastspeech2_ljspeech/ \
    --infer_output_dir ckpts/tts/fastspeech2_ljspeech/results \
    --infer_mode "single" \
    --infer_text "This is a clip of generated speech with the given text from a TTS model." \
    --vocoder_dir ckpts/vocoder/hifigan_ljspeech/checkpoints/ \
```

**\*Noted**: Inference FastSpeech 2 requires a vocoder to reconstruct waveform from Mel spectrogram. The pre-trained Amphion HiFi-GAN Vocoder that matches this Amphion FastSpeech 2 can be download [here](https://huggingface.co/amphion/hifigan_ljspeech).