File size: 1,414 Bytes
9c86155
 
cb6b82c
9c86155
 
 
 
 
 
 
1647edb
 
 
 
 
275f3e0
49fc4a4
cb6b82c
ab45ce0
 
b7a7e91
ab45ce0
1647edb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ab45ce0
eb8c82c
 
 
15de0a1
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
---
title: "Ukrainian TTS"
emoji: πŸ‡ΊπŸ‡¦
colorFrom: green
colorTo: green
sdk: gradio
app_file: app.py
pinned: false
---

# Ukrainian TTS πŸ“’πŸ€–
Ukrainian TTS (text-to-speech) using Coqui TTS.

Trained on [M-AILABS Ukrainian dataset](https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/).  

Link to online demo -> [https://huggingface.co/spaces/robinhad/ukrainian-tts](https://huggingface.co/spaces/robinhad/ukrainian-tts)
# Support
If you like my work, please support -> ![mono](https://www.monobank.ua/favicon.ico) [SUPPORT LINK](https://send.monobank.ua/jar/48iHq4xAXm)
# Example

https://user-images.githubusercontent.com/5759207/167310298-2f384cb0-ebef-4a92-931b-3ff6fac6c99c.mp4

# How to use :
1. `pip install -r requirements.txt`.
2. Download model from "Releases" tab.
3. Launch as one-time command:  
```
tts --text "Text for TTS" \
    --model_path path/to/model.pth.tar \
    --config_path path/to/config.json \
    --out_path folder/to/save/output.wav
```
or alternatively launch web server using:
```
tts-server --model_path path/to/model.pth.tar \
    --config_path path/to/config.json
```

# How to train:
1. Refer to ["Nervous beginner guide"](https://tts.readthedocs.io/en/latest/tutorial_for_nervous_beginners.html) in Coqui TTS docs.
2. Instead of provided `config.json` use one from this repo.


# Attribution
Code for `app.py` taken from https://huggingface.co/spaces/julien-c/coqui