| Text-to-Speech (TTS) with Tacotron2 trained on a custom german dataset with 12 days voice using speechbrain. | |
| ## How to use | |
| Install speechbrain. | |
| ``` | |
| pip install speechbrain | |
| ``` | |
| Generate spectrogram (line 17) and generate wav using hifigan (line 18). | |
| ``` | |
| import torchaudio | |
| from speechbrain.pretrained import Tacotron2 | |
| from speechbrain.pretrained import HIFIGAN | |
| # Intialize TTS (tacotron2) and Vocoder (HiFIGAN) | |
| tacotron2 = Tacotron2.from_hparams(source="padmalcom/tts-tacotron2-german", 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("Die Sonne schien den ganzen Tag.") | |
| # Running Vocoder (spectrogram-to-waveform) | |
| waveforms = hifi_gan.decode_batch(mel_output) | |
| # Save the waverform | |
| torchaudio.save('example_TTS.wav',waveforms.squeeze(1), 22050) | |
| ``` |