README.md

---
license: mit
language:
- en
---

# Amphion Multi-Speaker TTS Pre-trained Model
## Quick Start
We provide the pre-trained checkpoint of [VITS](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/VITS), trained on [Hi-fi TTS](https://www.openslr.org/109/), which consists of a total of 291.6 hours audio contributed by 10 speakers, on an average of 17 hours per speaker. 
To utilize the pre-trained model, run the following commands:

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

### 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  ../../../vits_hifitts  ckpts/tts/
```

### Step4: Inference

You can follow the inference part of this [recipe](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/VITS#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/VITS/run.sh --stage 3 --gpu "0" \
    --config ckpts/tts/vits_hifitts/args.json \
	--infer_expt_dir ckpts/tts/vits_hifitts/ \
	--infer_output_dir ckpts/tts/vits_hifitts/result \
	--infer_mode "single" \
    --infer_text "This is a clip of generated speech with the given text from a TTS model." \
    --infer_speaker_name "hifitts_92"
```

**Note**: The supported `infer_speaker_name` values can be seen [here](https://huggingface.co/amphion/vits_hifitts/blob/main/spk2id.json).