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Eren Gölge authored and GitHub committed 2023-06-21 15:49:05 +02:00
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docs/source/inference.md
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@@ -128,7 +128,7 @@ wav = tts.tts("This is a test! This is also a test!!", speaker=tts.speakers[0],
tts.tts_to_file(text="Hello world!", speaker=tts.speakers[0], language=tts.languages[0], file_path="output.wav")
```
Here is an example for a single speaker model.
#### Here is an example for a single speaker model.
```python
# Init TTS with the target model name
@@ -137,7 +137,7 @@ tts = TTS(model_name="tts_models/de/thorsten/tacotron2-DDC", progress_bar=False,
tts.tts_to_file(text="Ich bin eine Testnachricht.", file_path=OUTPUT_PATH)
```
Example voice cloning with YourTTS in English, French and Portuguese:
#### Example voice cloning with YourTTS in English, French and Portuguese:
```python
tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=True)
@@ -146,15 +146,16 @@ tts.tts_to_file("C'est le clonage de la voix.", speaker_wav="my/cloning/audio.wa
tts.tts_to_file("Isso é clonagem de voz.", speaker_wav="my/cloning/audio.wav", language="pt", file_path="output.wav")
```
Example voice conversion converting speaker of the `source_wav` to the speaker of the `target_wav`
#### Example voice conversion converting speaker of the `source_wav` to the speaker of the `target_wav`
```python
tts = TTS(model_name="voice_conversion_models/multilingual/vctk/freevc24", progress_bar=False, gpu=True)
tts.voice_conversion_to_file(source_wav="my/source.wav", target_wav="my/target.wav", file_path="output.wav")
```
Example voice cloning by a single speaker TTS model combining with the voice conversion model. This way, you can
clone voices by using any model in 🐸TTS.
#### Example voice cloning by a single speaker TTS model combining with the voice conversion model.
This way, you can clone voices by using any model in 🐸TTS.
```python
tts = TTS("tts_models/de/thorsten/tacotron2-DDC")
@@ -163,8 +164,11 @@ tts.tts_with_vc_to_file(
speaker_wav="target/speaker.wav",
file_path="ouptut.wav"
)
```
Example text to speech using [🐸Coqui Studio](https://coqui.ai) models. You can use all of your available speakers in the studio.
#### Example text to speech using [🐸Coqui Studio](https://coqui.ai) models.
You can use all of your available speakers in the studio.
[🐸Coqui Studio](https://coqui.ai) API token is required. You can get it from the [account page](https://coqui.ai/account).
You should set the `COQUI_STUDIO_TOKEN` environment variable to use the API token.
@@ -193,4 +197,23 @@ api.emotions
api.list_speakers()
api.list_voices()
wav, sample_rate = api.tts(text="This is a test.", speaker=api.speakers[0].name, emotion="Happy", speed=1.5)
```
#### Example text to speech using **Fairseq models in ~1100 languages** 🤯.
For these models use the following name format: `tts_models/<lang-iso_code>/fairseq/vits`.
You can find the list of language ISO codes [here](https://dl.fbaipublicfiles.com/mms/tts/all-tts-languages.html) and learn about the Fairseq models [here](https://github.com/facebookresearch/fairseq/tree/main/examples/mms).
```python
from TTS.api import TTS
api = TTS(model_name="tts_models/eng/fairseq/vits", gpu=True)
api.tts_to_file("This is a test.", file_path="output.wav")
# TTS with on the fly voice conversion
api = TTS("tts_models/deu/fairseq/vits")
api.tts_with_vc_to_file(
"Wie sage ich auf Italienisch, dass ich dich liebe?",
speaker_wav="target/speaker.wav",
file_path="ouptut.wav"
)
```