
# Sunbird AI Text-to-Speech (TTS) model trained on Luganda text 

### Text-to-Speech (TTS) with Tacotron2 trained on Female Luganda Commonvoice Recordings

This repository provides all the necessary tools for Text-to-Speech (TTS)  with SpeechBrain.

The pre-trained model takes in input a short text and produces a spectrogram in output. One can get the final waveform by applying a vocoder (e.g., HiFIGAN) on top of the generated spectrogram.


### Install SpeechBrain

```
pip install speechbrain
```

Please notice that we encourage you to read our tutorials and learn more about
[SpeechBrain](https://speechbrain.github.io).

### Perform Text-to-Speech (TTS)

```
import torchaudio
from speechbrain.pretrained import Tacotron2
from speechbrain.pretrained import HIFIGAN

# Intialize TTS (tacotron2) and Vocoder (HiFIGAN)
tacotron2 = Tacotron2.from_hparams(source="sunbird/sunbird-lug-tts-commonvoice-female/", savedir="tmpdir_tts")
hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir="tmpdir_vocoder")

# Running the TTS
mel_output, mel_length, alignment = tacotron2.encode_text("Mbagaliza Christmass Enungi Nomwaka Omugya Gubaberere Gwamirembe")

# Running Vocoder (spectrogram-to-waveform)
waveforms = hifi_gan.decode_batch(mel_output)

# Save the waverform
torchaudio.save('example_TTS.wav',waveforms.squeeze(1), 22050)
```

If you want to generate multiple sentences in one-shot, you can do in this way:

```
from speechbrain.pretrained import Tacotron2
tacotron2 = Tacotron2.from_hparams(source="speechbrain/TTS_Tacotron2", savedir="tmpdir")
items = [
       "Nsanyuse okukulaba",
       "Erinnya lyo ggwe ani?",
       "Mbagaliza Christmass Enungi Nomwaka Omugya Gubaberere Gwamirembe"
     ]
mel_outputs, mel_lengths, alignments = tacotron2.encode_batch(items)

```

### Inference on GPU
To perform inference on the GPU, add  `run_opts={"device":"cuda"}`  when calling the `from_hparams` method.
{"language": "lg", "license": "apache-2.0", "tags": ["text-to-speech", "TTS", "speech-synthesis", "Tacotron2", "speechbrain"], "datasets": ["SALT-TTS"], "metrics": ["mos"]}
speechbrain text-to-speech TTS speech-synthesis Tacotron2 lg dataset:SALT-TTS license:apache-2.0 region:us
TAGS
#speechbrain #text-to-speech #TTS #speech-synthesis #Tacotron2 #lg #dataset-SALT-TTS #license-apache-2.0 #region-us 


# Sunbird AI Text-to-Speech (TTS) model trained on Luganda text 

### Text-to-Speech (TTS) with Tacotron2 trained on Female Luganda Commonvoice Recordings

This repository provides all the necessary tools for Text-to-Speech (TTS)  with SpeechBrain.

The pre-trained model takes in input a short text and produces a spectrogram in output. One can get the final waveform by applying a vocoder (e.g., HiFIGAN) on top of the generated spectrogram.


### Install SpeechBrain



Please notice that we encourage you to read our tutorials and learn more about
SpeechBrain.

### Perform Text-to-Speech (TTS)



If you want to generate multiple sentences in one-shot, you can do in this way:



### Inference on GPU
To perform inference on the GPU, add  'run_opts={"device":"cuda"}'  when calling the 'from_hparams' method.
# Sunbird AI Text-to-Speech (TTS) model trained on Luganda text ### Text-to-Speech (TTS) with Tacotron2 trained on Female Luganda Commonvoice Recordings

This repository provides all the necessary tools for Text-to-Speech (TTS)  with SpeechBrain.

The pre-trained model takes in input a short text and produces a spectrogram in output. One can get the final waveform by applying a vocoder (e.g., HiFIGAN) on top of the generated spectrogram. ### Install SpeechBrain



Please notice that we encourage you to read our tutorials and learn more about
SpeechBrain. ### Perform Text-to-Speech (TTS)



If you want to generate multiple sentences in one-shot, you can do in this way: ### Inference on GPU
To perform inference on the GPU, add  'run_opts={"device":"cuda"}'  when calling the 'from_hparams' method.
TAGS
#speechbrain #text-to-speech #TTS #speech-synthesis #Tacotron2 #lg #dataset-SALT-TTS #license-apache-2.0 #region-us 
 # Sunbird AI Text-to-Speech (TTS) model trained on Luganda text ### Text-to-Speech (TTS) with Tacotron2 trained on Female Luganda Commonvoice Recordings

This repository provides all the necessary tools for Text-to-Speech (TTS)  with SpeechBrain.

The pre-trained model takes in input a short text and produces a spectrogram in output. One can get the final waveform by applying a vocoder (e.g., HiFIGAN) on top of the generated spectrogram. ### Install SpeechBrain



Please notice that we encourage you to read our tutorials and learn more about
SpeechBrain. ### Perform Text-to-Speech (TTS)



If you want to generate multiple sentences in one-shot, you can do in this way: ### Inference on GPU
To perform inference on the GPU, add  'run_opts={"device":"cuda"}'  when calling the 'from_hparams' method.
TAGS
#speechbrain #text-to-speech #TTS #speech-synthesis #Tacotron2 #lg #dataset-SALT-TTS #license-apache-2.0 #region-us 
# Sunbird AI Text-to-Speech (TTS) model trained on Luganda text### Text-to-Speech (TTS) with Tacotron2 trained on Female Luganda Commonvoice Recordings

This repository provides all the necessary tools for Text-to-Speech (TTS)  with SpeechBrain.

The pre-trained model takes in input a short text and produces a spectrogram in output. One can get the final waveform by applying a vocoder (e.g., HiFIGAN) on top of the generated spectrogram.### Install SpeechBrain



Please notice that we encourage you to read our tutorials and learn more about
SpeechBrain.### Perform Text-to-Speech (TTS)



If you want to generate multiple sentences in one-shot, you can do in this way:### Inference on GPU
To perform inference on the GPU, add  'run_opts={"device":"cuda"}'  when calling the 'from_hparams' method.