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Adding versioning in a file

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Shivam Mehta
2023-09-17 15:15:30 +00:00
parent 54421b3ced
commit 582407b699
6 changed files with 25 additions and 18 deletions
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README.md
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@@ -28,6 +28,8 @@ We propose 🍵 Matcha-TTS, a new approach to non-autoregressive neural TTS, tha
Check out our [demo page](https://shivammehta25.github.io/Matcha-TTS). Read our [arXiv preprint for more details](https://arxiv.org/abs/2309.03199).
[Pretrained models](https://drive.google.com/drive/folders/17C_gYgEHOxI5ZypcfE_k1piKCtyR0isJ?usp=sharing) will be auto downloaded with the CLI or gradio interface.
<br>
## Installation
@@ -35,8 +37,8 @@ Check out our [demo page](https://shivammehta25.github.io/Matcha-TTS). Read our
1. Create an environment (suggested but optional)
```
conda create -n matcha_tts python=3.10 -y
conda activate matcha_tts
conda create -n matcha-tts python=3.10 -y
conda activate matcha-tts
```
2. Install Matcha TTS using pip from source
@@ -50,13 +52,13 @@ pip install git+https://github.com/shivammehta25/Matcha-TTS.git
```bash
# This will download the required models
match_tts --text "<INPUT TEXT>"
matcha-tts --text "<INPUT TEXT>"
```
or
```bash
matcha_tts_app
matcha-tts_app
```
or open `synthesis.ipynb` on jupyter notebook
@@ -66,19 +68,19 @@ or open `synthesis.ipynb` on jupyter notebook
- To synthesise from given text, run:
```bash
match_tts --text "<INPUT TEXT>"
matcha-tts --text "<INPUT TEXT>"
```
- To synthesise from a file, run:
```bash
match_tts --file <PATH TO FILE>
matcha-tts --file <PATH TO FILE>
```
- To batch synthesise from a file, run:
```bash
match_tts --file <PATH TO FILE> --batched
matcha-tts --file <PATH TO FILE> --batched
```
Additional arguments
@@ -86,19 +88,19 @@ Additional arguments
- Speaking rate
```bash
match_tts --text "<INPUT TEXT>" --speaking_rate 1.0
matcha-tts --text "<INPUT TEXT>" --speaking_rate 1.0
```
- Sampling temperature
```bash
match_tts --text "<INPUT TEXT>" --temperature 0.667
matcha-tts --text "<INPUT TEXT>" --temperature 0.667
```
- Euler ODE solver steps
```bash
match_tts --text "<INPUT TEXT>" --steps 10
matcha-tts --text "<INPUT TEXT>" --steps 10
```
## Citation information
@@ -185,7 +187,7 @@ python matcha/train.py experiment=ljspeech trainer.devices=[0,1]
6. Synthesise from the custom trained model
```bash
matcha_tts --text "<INPUT TEXT>" --checkpoint_path <PATH TO CHECKPOINT>
matcha-tts --text "<INPUT TEXT>" --checkpoint_path <PATH TO CHECKPOINT>
```
## Acknowledgements