readme: ---
  language: "de"
  inference: false
  tags:
  - Vocoder
  - HiFIGAN
  - text-to-speech
  - TTS
  - speech-synthesis
  - speechbrain
  license: "apache-2.0"
  datasets:
  - custom
  ---
  
  # Vocoder with HiFIGAN trained on custom German dataset
  
  This repository provides all the necessary tools for using a [HiFIGAN](https://arxiv.org/abs/2010.05646) vocoder trained on a generated German dataset using [mp3_to_training_data](https://github.com/padmalcom/mp3_to_training_data).
  
  The pre-trained model (8 epochs so far) takes in input a spectrogram and produces a waveform in output. Typically, a vocoder is used after a TTS model that converts an input text into a spectrogram.
  
  
  ## How to use
  
  Install speechbrain.
  
  ```bash
  pip install speechbrain
  ```
  
  Use a TTS model (e.g. [tts-tacotron-german](https://huggingface.co/padmalcom/tts-tacotron2-german)), generate a spectrogram and convert it to audio.
  
  ```python
  import torchaudio
  from speechbrain.pretrained import Tacotron2
  from speechbrain.pretrained import HIFIGAN
  
  tacotron2 = Tacotron2.from_hparams(source="padmalcom/tts-tacotron2-german", savedir="tmpdir_tts")
  hifi_gan = HIFIGAN.from_hparams(source="padmalcom/tts-hifigan-german", savedir="tmpdir_vocoder")
  
  mel_output, mel_length, alignment = tacotron2.encode_text("Mary had a little lamb")
  
  waveforms = hifi_gan.decode_batch(mel_output)
  
  torchaudio.save('example_TTS.wav',waveforms.squeeze(1), 22050)
  ```
  
  ### Inference on GPU
  To perform inference on the GPU, add  `run_opts={"device":"cuda"}`  when calling the `from_hparams` method.