Medix-AI/coqui-tts
Medix-AI
/
coqui-tts
mirror of https://github.com/coqui-ai/TTS.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

fix inference.md

This commit is contained in:
WeberJulian 2023-10-16 13:02:08 +02:00
parent 850b6fbd2f
commit 3037bd0fef
1 changed files with 13 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

20
docs/source/inference.md
View File

@ -114,18 +114,24 @@ tts-server --model_name "<type>/<language>/<dataset>/<model_name>" \
You can run a multi-speaker and multi-lingual model in Python as
```python
import torch
from TTS.api import TTS
# List available 🐸TTS models and choose the first one
model_name = TTS().list_models()[0]
# Get device
device = "cuda" if torch.cuda.is_available() else "cpu"
# List available 🐸TTS models
print(TTS().list_models())
# Init TTS
tts = TTS(model_name)
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1").to(device)
# Run TTS
# ❗ Since this model is multi-speaker and multi-lingual, we must set the target speaker and the language
# Text to speech with a numpy output
wav = tts.tts("This is a test! This is also a test!!", speaker=tts.speakers[0], language=tts.languages[0])
# ❗ Since this model is multi-lingual voice cloning model, we must set the target speaker_wav and language
# Text to speech list of amplitude values as output
wav = tts.tts(text="Hello world!", speaker_wav="my/cloning/audio.wav", language="en")
# Text to speech to a file
tts.tts_to_file(text="Hello world!", speaker=tts.speakers[0], language=tts.languages[0], file_path="output.wav")
tts.tts_to_file(text="Hello world!", speaker_wav="my/cloning/audio.wav", language="en", file_path="output.wav")
```
#### Here is an example for a single speaker model.