--- language: "en" inference: false tags: - Vocoder - HiFIGAN - text-to-speech - TTS - speech-synthesis - speechbrain license: "apache-2.0" datasets: - LibriTTS --- # Vocoder with HiFIGAN trained on LibriTTS This repository provides all the necessary tools for using a [HiFIGAN](https://arxiv.org/abs/2010.05646) vocoder trained with [LibriTTS](https://www.openslr.org/60/) (with multiple speakers). The sample rate used for the vocoder is 16000 Hz. The pre-trained model 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. Alternatives to this models are the following: - [tts-hifigan-libritts-22050Hz](https://huggingface.co/speechbrain/tts-hifigan-libritts-22050Hz) (same model trained on the same dataset, but for a sample rate of 22050 Hz) - [tts-hifigan-ljspeech](https://huggingface.co/speechbrain/tts-hifigan-ljspeech) (same model trained on LJSpeech for a sample rate of 22050 Hz). ## Install SpeechBrain ```bash pip install speechbrain ``` Please notice that we encourage you to read our tutorials and learn more about [SpeechBrain](https://speechbrain.github.io). ### Using the Vocoder ```python import torch from speechbrain.pretrained import HIFIGAN hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-libritts-16kHz", savedir="tmpdir") mel_specs = torch.rand(2, 80,298) # Running Vocoder (spectrogram-to-waveform) waveforms = hifi_gan.decode_batch(mel_specs) ``` ### Inference on GPU To perform inference on the GPU, add `run_opts={"device":"cuda"}` when calling the `from_hparams` method. ### Training The model was trained with SpeechBrain. To train it from scratch follow these steps: 1. Clone SpeechBrain: ```bash git clone https://github.com/speechbrain/speechbrain/ ``` 2. Install it: ```bash cd speechbrain pip install -r requirements.txt pip install -e . ``` 3. Run Training: ```bash cd recipes/LibriTTS/vocoder/hifigan/ python train.py hparams/train.yaml --data_folder=/path/to/LibriTTS_data_destination --sample_rate=16000 ``` To change the sample rate for model training go to the `"recipes/LibriTTS/vocoder/hifigan/hparams/train.yaml"` file and change the value for `sample_rate` as required. The training logs and checkpoints are available [here](https://drive.google.com/drive/folders/1cImFzEonNYhetS9tmH9R_d0EFXXN0zpn?usp=sharing).